Computational Imaging & VisAnalysis

#189: S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald

Automatic tuberculosis screening using chest radiographs

IEEE Trans. Medical Imaging, Volume 33, pgs. 233-245, 2014

classification, features, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Jaeger:TMI-2013-TBScreening,
  author = "S. Jaeger and A. Karargyris and S. Candemir and L. Folio and J. Siegelman and F. Callaghan and Z. Xue and K. Palaniappan and R. Singh and S. Antani and G. Thoma and Y.-X. Wang and P.-X. Lu and C. J. McDonald",
  title = "Automatic tuberculosis screening using chest radiographs",
  year = 2014,
  journal = "IEEE Trans. Medical Imaging",
  volume = 33,
  number = 2,
  pages = "233-245",
  keywords = "classification, features, machine learning, data mining, biomedical",
  doi = "10.1109/TMI.2013.2284099"
}

S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald. Automatic tuberculosis screening using chest radiographs. IEEE Trans. Medical Imaging, volume 33, issue 2, pages 233-245, 2014.

#140: E. Blasch, G. Seetharaman, K. Palaniappan, H. Ling, and G. Chen

Wide-Area Motion Imagery (WAMI) exploitation tools for enhanced situational awareness

Proc. IEEE Applied Imagery Pattern Recognition Workshop, 2012

wami, visual events, fusion, data mining, fmv, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Blasch:wami-tools-2012,
  author = "E. Blasch and G. Seetharaman and K. Palaniappan and H. Ling and G. Chen",
  title = "Wide-Area Motion Imagery (WAMI) exploitation tools for enhanced situational awareness",
  year = 2012,
  booktitle = "Proc. IEEE Applied Imagery Pattern Recognition Workshop",
  keywords = "wami, visual events, fusion, data mining, fmv, dod",
  url = "http://www.dabi.temple.edu/~hbling/publication/AIPR12_WAMI_for_E2ATv4_BW.pdf"
}

E. Blasch, G. Seetharaman, K. Palaniappan, H. Ling, and G. Chen. Wide-Area Motion Imagery (WAMI) exploitation tools for enhanced situational awareness. Proc. IEEE Applied Imagery Pattern Recognition Workshop, 2012.

#155: I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng

HEp-2 Cell Classification in IIF Images Using ShareBoost

Int. Conf. Pattern Recognition, 2012

cell detection, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Ersoy:ICPR-2012-hep2,
  author = "I. Ersoy and F. Bunyak and K. Palaniappan and J. Peng",
  title = "HEp-2 Cell Classification in IIF Images Using ShareBoost",
  year = 2012,
  booktitle = "Int. Conf. Pattern Recognition",
  keywords = "cell detection, cell classification, features, texture, machine learning, data mining, biomedical",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460885"
}

I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng. HEp-2 Cell Classification in IIF Images Using ShareBoost. Int. Conf. Pattern Recognition, 2012.

#153: J. Peng, K. Palaniappan, S. Candemir, and G. Seetharaman

Kullback-Leibler divergence-based data fusion for target tracking

Int. Conf. Pattern Recognition, 2012

wami, tracking, fmv, features, motion, fusion, data mining, machine learning, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{JPeng:ICPR-2012,
  author = "J. Peng and K. Palaniappan and S. Candemir and G. Seetharaman",
  title = "Kullback-Leibler divergence-based data fusion for target tracking",
  year = 2012,
  booktitle = "Int. Conf. Pattern Recognition",
  keywords = "wami, tracking, fmv, features, motion, fusion, data mining, machine learning, dod",
  url = "http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6460914"
}

J. Peng, K. Palaniappan, S. Candemir, and G. Seetharaman. Kullback-Leibler divergence-based data fusion for target tracking. Int. Conf. Pattern Recognition, 2012.

#144: V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan

Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology

IEEE Healthcare Innovation Conference, 2012

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Surya:HIC-2012-histopath,
  author = "V. B. S. Prasath and F. Bunyak and P. Dale and S. R. Frazier and K. Palaniappan",
  title = "Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology",
  year = 2012,
  booktitle = "IEEE Healthcare Innovation Conference",
  keywords = "histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical"
}

V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan. Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology. IEEE Healthcare Innovation Conference, 2012.

#134: F. Bunyak, A. Hafiane, and K. Palaniappan

Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets

Software Tools and Algorithms for Biological Systems, Springer, pgs. 413--424, 2011

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@incollection{Bunyak:histo-book-2011,
  author = "F. Bunyak and A. Hafiane and K. Palaniappan",
  title = "Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets",
  year = 2011,
  booktitle = "Software Tools and Algorithms for Biological Systems",
  publisher = "Springer",
  pages = "413--424",
  keywords = "histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1007/978-1-4419-7046-6_41",
  url = "http://link.springer.com/chapter/10.1007/978-1-4419-7046-6_41"
}

F. Bunyak, A. Hafiane, and K. Palaniappan. Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets. Software Tools and Algorithms for Biological Systems, Springer, pages 413--424, 2011.

#126: J. Peng, C. Barbu, G. Seetharaman, F. Wei, X. Wu, and K. Palaniappan

ShareBoost: Boosting for multi-view learning with performance guarantees

Lecture Notes in Artificial Intelligence (ECML PKDD), Volume 6912, pgs. 597--612, 2011

machine learning, detection, classification, features, texture, data mining

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{JPeng:ECML-2011,
  author = "J. Peng and C. Barbu and G. Seetharaman and F. Wei and X. Wu and K. Palaniappan",
  title = "ShareBoost: Boosting for multi-view learning with performance guarantees",
  year = 2011,
  journal = "Lecture Notes in Artificial Intelligence (ECML PKDD)",
  volume = 6912,
  pages = "597--612",
  keywords = "machine learning, detection, classification, features, texture, data mining",
  doi = "10.1007/978-3-642-23783-6_38",
  url = "http://link.springer.com/chapter/10.1007/978-3-642-23783-6_38"
}

J. Peng, C. Barbu, G. Seetharaman, F. Wei, X. Wu, and K. Palaniappan. ShareBoost: Boosting for multi-view learning with performance guarantees. Lecture Notes in Artificial Intelligence (ECML PKDD), volume 6912, pages 597--612, 2011.

#136: E. Blasch, P. Deignan, S. Dockstader, M. Pellechia, K. Palaniappan, and G. Seetharaman

Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing

Proc. IEEE National Aerospace and Electronics Conference (NAECON), pgs. 183--190, 2011

wami, visual events, fusion, data mining, gis, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Blasch:GIS-NAECON-2011,
  author = "E. Blasch and P. Deignan and S. Dockstader and M. Pellechia and K. Palaniappan and G. Seetharaman",
  title = "Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing",
  year = 2011,
  booktitle = "Proc. IEEE National Aerospace and Electronics Conference (NAECON)",
  pages = "183--190",
  keywords = "wami, visual events, fusion, data mining, gis, dod",
  doi = "10.1109/NAECON.2011.6183099",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6183099"
}

E. Blasch, P. Deignan, S. Dockstader, M. Pellechia, K. Palaniappan, and G. Seetharaman. Contemporary concerns in Geographical/Geospatial Information Systems (GIS) processing. Proc. IEEE National Aerospace and Electronics Conference (NAECON), pages 183--190, 2011.

#116: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features

7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010

cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Jaeger:ICVGIP-2010,
  author = "S. Jaeger and K. Palaniappan and C. S. Casas-Delucchi and M. C. Cardoso",
  title = "Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features",
  year = 2010,
  booktitle = "7th Indian Conference on Computer Vision, Graphics and Image Processing",
  keywords = "cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical",
  doi = "10.1145/1924559.1924614",
  url = "http://dl.acm.org/citation.cfm?id=1924614"
}

S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso. Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features. 7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010.

#115: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Dual channel colocalization for cell cycle analysis using 3D confocal microscopy

IEEE Int. Conf. Pattern Recognition, 2010

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Jaeger:ICPR-2010,
  author = "S. Jaeger and K. Palaniappan and C. S. Casas-Delucchi and M. C. Cardoso",
  title = "Dual channel colocalization for cell cycle analysis using 3D confocal microscopy",
  year = 2010,
  booktitle = "IEEE Int. Conf. Pattern Recognition",
  keywords = "cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1109/ICPR.2010.632",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5595781"
}

S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso. Dual channel colocalization for cell cycle analysis using 3D confocal microscopy. IEEE Int. Conf. Pattern Recognition, 2010.

#88: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Semantic concept mining based on hierarchical event detection for soccer video indexing

J. Multimedia, Volume 4, pgs. 298--312, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Kolekar:JMM-2009,
  author = "M. H. Kolekar and K. Palaniappan and S. Sengupta and G. Seetharaman",
  title = "Semantic concept mining based on hierarchical event detection for soccer video indexing",
  year = 2009,
  journal = "J. Multimedia",
  volume = 4,
  number = 5,
  pages = "298--312",
  month = "Oct",
  keywords = "fmv, motion, features, fusion, visual events, data mining, cbir",
  doi = "10.4304/jmm.4.5.298-312",
  url = "http://ojs.academypublisher.com/index.php/jmm/article/view/2255"
}

M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman. Semantic concept mining based on hierarchical event detection for soccer video indexing. J. Multimedia, volume 4, issue 5, pages 298--312, October 2009.

#100: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Event detection and semantic identification using Bayesian belief networks

IEEE Int. Conf. Computer Vision Workshops, pgs. 554--561, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kolekar:ICCVW-2009,
  author = "M. H. Kolekar and K. Palaniappan and S. Sengupta and G. Seetharaman",
  title = "Event detection and semantic identification using Bayesian belief networks",
  year = 2009,
  booktitle = "IEEE Int. Conf. Computer Vision Workshops",
  pages = "554--561",
  keywords = "fmv, motion, features, fusion, visual events, data mining, cbir",
  doi = "10.1109/ICCVW.2009.5457652",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5457652"
}

M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman. Event detection and semantic identification using Bayesian belief networks. IEEE Int. Conf. Computer Vision Workshops, pages 554--561, 2009.

#89: I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan

Segmentation and classification of cell cycle phases in fluorescence imaging

Lecture Notes in Computer Science (MICCAI), Volume 5762, pgs. 617--624, 2009

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Ersoy:MICCAI-2009,
  author = "I. Ersoy and F. Bunyak and V. Chagin and M. C. Cardoso and K. Palaniappan",
  title = "Segmentation and classification of cell cycle phases in fluorescence imaging",
  year = 2009,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 5762,
  pages = "617--624",
  keywords = "cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1007/978-3-642-04271-3_75",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/20426163"
}

I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan. Segmentation and classification of cell cycle phases in fluorescence imaging. Lecture Notes in Computer Science (MICCAI), volume 5762, pages 617--624, 2009.

#86: M. H. Kolekar and K. Palaniappan

A hierarchical framework for semantic scene classification in soccer sports video

IEEE Region Ten (TENCON) Int. Conference, pgs. Online, 2008

fmv, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kolekar:TENCON-2008,
  author = "M. H. Kolekar and K. Palaniappan",
  title = "A hierarchical framework for semantic scene classification in soccer sports video",
  year = 2008,
  booktitle = "IEEE Region Ten (TENCON) Int. Conference",
  pages = "Online",
  keywords = "fmv, features, fusion, visual events, data mining, cbir",
  doi = "10.1109/TENCON.2008.4766547",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4766547"
}

M. H. Kolekar and K. Palaniappan. A hierarchical framework for semantic scene classification in soccer sports video. IEEE Region Ten (TENCON) Int. Conference, pages Online, 2008.

#72: M. H. Kolekar, K. Palaniappan, and S. Sengupta

Semantic event detection and classification in cricket video sequence

IEEE Indian Conference on Computer Vision, Graphics and Image Processing, pgs. 382--389, 2008

fmv, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kolekar:CVGIP-2008,
  author = "M. H. Kolekar and K. Palaniappan and S. Sengupta",
  title = "Semantic event detection and classification in cricket video sequence",
  year = 2008,
  booktitle = "IEEE Indian Conference on Computer Vision, Graphics and Image Processing",
  pages = "382--389",
  keywords = "fmv, features, fusion, visual events, data mining, cbir",
  doi = "10.1109/ICVGIP.2008.102",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4756096"
}

M. H. Kolekar, K. Palaniappan, and S. Sengupta. Semantic event detection and classification in cricket video sequence. IEEE Indian Conference on Computer Vision, Graphics and Image Processing, pages 382--389, 2008.

#85: M. H. Kolekar, K. Palaniappan, and S. Sengupta

A novel framework for semantic annotation of soccer sports video sequences

Proc. 5th IEEE European Conference on Visual Media Production, pgs. 1-9, 2008

fmv, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Kolekar:CVMP-2008,
  author = "M. H. Kolekar and K. Palaniappan and S. Sengupta",
  title = "A novel framework for semantic annotation of soccer sports video sequences",
  year = 2008,
  booktitle = "Proc. 5th IEEE European Conference on Visual Media Production",
  pages = "1-9",
  keywords = "fmv, features, fusion, visual events, data mining, cbir",
  doi = "10.1049/cp:20081081",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4778745"
}

M. H. Kolekar, K. Palaniappan, and S. Sengupta. A novel framework for semantic annotation of soccer sports video sequences. Proc. 5th IEEE European Conference on Visual Media Production, pages 1-9, 2008.

#75: A. Hafiane, F. Bunyak, and K. Palaniappan

Level-set-based histology image segmentation with region-based comparison

MICCAI Workshop MIAAB, pgs. Online, 2008

histopathology, active contours, classification, features, texture, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:MIAAB-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Level-set-based histology image segmentation with region-based comparison",
  year = 2008,
  booktitle = "MICCAI Workshop MIAAB",
  pages = "Online",
  keywords = "histopathology, active contours, classification, features, texture, data mining, biomedical",
  doi = "10.1007/978-3-540-88458-3_82",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-88458-3_82"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Level-set-based histology image segmentation with region-based comparison. MICCAI Workshop MIAAB, pages Online, 2008.

#67: C. R. Shyu, M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan

GeoIRIS: Geospatial information retrieval and indexing system -- Content mining, semantics, modeling, and complex queries

IEEE Trans. Geoscience Remote Sensing, Volume 45, pgs. 839--852, 2007

gis, data mining, features, machine learning, parallelization, cbir

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Shyu:GeoIRIS-2007,
  author = "C. R. Shyu and M. Klaric and G. J. Scott and A. S. Barb and C. H. Davis and K. Palaniappan",
  title = "GeoIRIS: Geospatial information retrieval and indexing system -- Content mining, semantics, modeling, and complex queries",
  year = 2007,
  journal = "IEEE Trans. Geoscience Remote Sensing",
  booktitle = "Special issue on Image Information Mining for Earth Observation Data",
  volume = 45,
  number = 4,
  pages = "839--852",
  month = "Apr",
  keywords = "gis, data mining, features, machine learning, parallelization, cbir",
  doi = "10.1109/TGRS.2006.890579"
}

C. R. Shyu, M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan. GeoIRIS: Geospatial information retrieval and indexing system -- Content mining, semantics, modeling, and complex queries. IEEE Trans. Geoscience Remote Sensing, Special issue on Image Information Mining for Earth Observation Data, volume 45, issue 4, pages 839--852, April 2007.

#70: S. K. Nath, K. Palaniappan, and F. Bunyak

Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD

Lecture Notes in Computer Science (SCIA), Volume 4522, pgs. 421--431, 2007

cell segmentation, segmentation, active contours, data mining

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:SCIA-2007,
  author = "S. K. Nath and K. Palaniappan and F. Bunyak",
  title = "Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD",
  year = 2007,
  journal = "Lecture Notes in Computer Science (SCIA)",
  volume = 4522,
  pages = "421--431",
  keywords = "cell segmentation, segmentation, active contours, data mining",
  doi = "10.1007/978-3-540-73040-8_43"
}

S. K. Nath, K. Palaniappan, and F. Bunyak. Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD. Lecture Notes in Computer Science (SCIA), volume 4522, pages 421--431, 2007.

#58: S. J. Julier, J. K. Uhlmann, J. Walters, R. Mittu, and K. Palaniappan

The challenge of scalable and distributed fusion of disparate sources of information

SPIE Proc. Multisensor, Multisource Information Fusion: Architectures, Algorithms and Applications, Volume 6242, pgs. Online, 2006

gis, fusion, parallelization, data mining, remote sensing

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@incollection{Julier:SPIE-2006,
  author = "S. J. Julier and J. K. Uhlmann and J. Walters and R. Mittu and K. Palaniappan",
  title = "The challenge of scalable and distributed fusion of disparate sources of information",
  year = 2006,
  booktitle = "SPIE Proc. Multisensor, Multisource Information Fusion: Architectures, Algorithms and Applications",
  volume = 6242,
  number = 1,
  pages = "Online",
  keywords = "gis, fusion, parallelization, data mining, remote sensing",
  doi = "10.1117/12.666395"
}

S. J. Julier, J. K. Uhlmann, J. Walters, R. Mittu, and K. Palaniappan. The challenge of scalable and distributed fusion of disparate sources of information. SPIE Proc. Multisensor, Multisource Information Fusion: Architectures, Algorithms and Applications, volume 6242, issue 1, pages Online, 2006.

#65: M. Klaric, G. Scott, C. Shyu, C. Davis, and K. Palaniappan

A framework for geospatial satellite imagery retrieval systems

IEEE Int. Geoscience and Remote Sensing Symposium, pgs. 2457--2460, 2006

gis, data mining, features, machine learning, visualization, remote sensing, cbir

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Shyu:IGARSS-2006,
  author = "M. Klaric and G. Scott and C. Shyu and C. Davis and K. Palaniappan",
  title = "A framework for geospatial satellite imagery retrieval systems",
  year = 2006,
  booktitle = "IEEE Int. Geoscience and Remote Sensing Symposium",
  pages = "2457--2460",
  keywords = "gis, data mining, features, machine learning, visualization, remote sensing, cbir",
  doi = "10.1109/IGARSS.2006.636"
}

M. Klaric, G. Scott, C. Shyu, C. Davis, and K. Palaniappan. A framework for geospatial satellite imagery retrieval systems. IEEE Int. Geoscience and Remote Sensing Symposium, pages 2457--2460, 2006.

#54: Y. Luo, K. Palaniappan, and Y. Li

New algorithms of neural fuzzy relation systems with min-implication composition

Lecture Notes in Computer Science (Advances in Natural Computation), Volume 3612, pgs. 1132--1141, 2005

data mining, machine learning, classification

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Palani:Fuzzy-2005,
  author = "Y. Luo and K. Palaniappan and Y. Li",
  title = "New algorithms of neural fuzzy relation systems with min-implication composition",
  year = 2005,
  journal = "Lecture Notes in Computer Science (Advances in Natural Computation)",
  volume = 3612,
  pages = "1132--1141",
  keywords = "data mining, machine learning, classification",
  doi = "10.1007/11539902_143"
}

Y. Luo, K. Palaniappan, and Y. Li. New algorithms of neural fuzzy relation systems with min-implication composition. Lecture Notes in Computer Science (Advances in Natural Computation), volume 3612, pages 1132--1141, 2005.

#55: C. R. Shyu, G. Scott, M. Klaric, C. H. Davis, and K. Palaniappan

Automatic object extraction from full differential morphological profile in urban imagery for efficient object indexing and retrievals

3rd Int. Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Volume 36, 2005

gis, data mining, features, machine learning, shape, remote sensing, cbir

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Shyu:GeoIRIS-2005,
  author = "C. R. Shyu and G. Scott and M. Klaric and C. H. Davis and K. Palaniappan",
  title = "Automatic object extraction from full differential morphological profile in urban imagery for efficient object indexing and retrievals",
  year = 2005,
  booktitle = "3rd Int. Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005)",
  volume = 36,
  number = 8,
  keywords = "gis, data mining, features, machine learning, shape, remote sensing, cbir"
}

C. R. Shyu, G. Scott, M. Klaric, C. H. Davis, and K. Palaniappan. Automatic object extraction from full differential morphological profile in urban imagery for efficient object indexing and retrievals. 3rd Int. Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), volume 36, issue 8, 2005.

#52: M. Lu, P. Nygren, J. Perttunen, S. Pallardy, and K. Palaniappan

Growth simulation of eastern cottonwood (Populus deltoids) using LIGNUM model incorporating real weather data

4th Int. Workshop on Functional-Structural Plant Models, 2004

data mining, visualization, plants

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Nygren:LIGNUM-2004,
  author = "M. Lu and P. Nygren and J. Perttunen and S. Pallardy and K. Palaniappan",
  title = "Growth simulation of eastern cottonwood (Populus deltoids) using LIGNUM model incorporating real weather data",
  year = 2004,
  booktitle = "4th Int. Workshop on Functional-Structural Plant Models",
  keywords = "data mining, visualization, plants",
  url = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.125.6245&rep=rep1&type=pdf"
}

M. Lu, P. Nygren, J. Perttunen, S. Pallardy, and K. Palaniappan. Growth simulation of eastern cottonwood (Populus deltoids) using LIGNUM model incorporating real weather data. 4th Int. Workshop on Functional-Structural Plant Models, 2004.

#41: Y. Zhu, K. Palaniappan, H. Jiang, Y. Zhao, X. Zhuang, and G. Xu

Real-time robust detection and extraction of hand gestures for HCI

IASTED 5th Int. Conf. Computer Graphics and Imaging (CGIM'02), pgs. 68--73, 2002

motion, visual events, tracking, data mining

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{YZhu:hand-gestures-CGIM-2002,
  author = "Y. Zhu and K. Palaniappan and H. Jiang and Y. Zhao and X. Zhuang and G. Xu",
  title = "Real-time robust detection and extraction of hand gestures for HCI",
  year = 2002,
  booktitle = "IASTED 5th Int. Conf. Computer Graphics and Imaging (CGIM'02)",
  pages = "68--73",
  keywords = "motion, visual events, tracking, data mining",
  doi = "10.1006/cviu.2002.0967",
  url = "http://www.sciencedirect.com/science/article/pii/S1077314202909677"
}

Y. Zhu, K. Palaniappan, H. Jiang, Y. Zhao, X. Zhuang, and G. Xu. Real-time robust detection and extraction of hand gestures for HCI. IASTED 5th Int. Conf. Computer Graphics and Imaging (CGIM'02), pages 68--73, 2002.

#40: D. Pi and K. Palaniappan

Robustness of discrete nonlinear systems with open-closed-loop iterative learning control

1st IEEE Int. Conf. Machine Learning and Cybernetics, Volume 3, pgs. 1263--1266, 2002

data mining, machine learning, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{DYPi:nonlinear-control-2002,
  author = "D. Pi and K. Palaniappan",
  title = "Robustness of discrete nonlinear systems with open-closed-loop iterative learning control",
  year = 2002,
  booktitle = "1st IEEE Int. Conf. Machine Learning and Cybernetics",
  volume = 3,
  pages = "1263--1266",
  keywords = "data mining, machine learning, classification",
  doi = "10.1109/ICMLC.2002.1167406",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1167406"
}

D. Pi and K. Palaniappan. Robustness of discrete nonlinear systems with open-closed-loop iterative learning control. 1st IEEE Int. Conf. Machine Learning and Cybernetics, volume 3, pages 1263--1266, 2002.

#39: Y. Zhao, X. Zhou, K. Palaniappan, and X. Zhuang

Statistical modeling for improved land cover classification

SPIE Battlespace Digitization and Network-Centric Warfare II, Volume 4741, pgs. 296--304, 2002

gis, classification, segmentation, data mining, machine learning, remote sensing

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Zhao:landcover-SPIE-2002,
  author = "Y. Zhao and X. Zhou and K. Palaniappan and X. Zhuang",
  title = "Statistical modeling for improved land cover classification",
  year = 2002,
  booktitle = "SPIE Battlespace Digitization and Network-Centric Warfare II",
  volume = 4741,
  pages = "296--304",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing",
  doi = "10.1117/12.478725"
}

Y. Zhao, X. Zhou, K. Palaniappan, and X. Zhuang. Statistical modeling for improved land cover classification. SPIE Battlespace Digitization and Network-Centric Warfare II, volume 4741, pages 296--304, 2002.

#33: K. Palaniappan and F. Zhu

Automatic land cover classification using evolutionary algorithms and decision trees

16th IFIP World Computer Congress 2000, Proc. Int. Conf. on Intelligent Information Processing, pgs. 327--332, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

Bibtex, PlainText, Google Scholar

@inproceedings{Pal:landcover-2000,
  author = "K. Palaniappan and F. Zhu",
  title = "Automatic land cover classification using evolutionary algorithms and decision trees",
  year = 2000,
  booktitle = "16th IFIP World Computer Congress 2000, Proc. Int. Conf. on Intelligent Information Processing",
  pages = "327--332",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing"
}

#32: K. Palaniappan, F. Zhu, X. Zhuang, Y. Zhao, and A. Blanchard

Enhanced binary tree genetic algorithm for automatic land cover classification

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume II, pgs. 688--692, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Pal:landcover-BTGA-2000,
  author = "K. Palaniappan and F. Zhu and X. Zhuang and Y. Zhao and A. Blanchard",
  title = "Enhanced binary tree genetic algorithm for automatic land cover classification",
  year = 2000,
  booktitle = "IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS)",
  volume = II,
  pages = "688--692",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing",
  doi = "10.1109/IGARSS.2000.861672",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=861672"
}

K. Palaniappan, F. Zhu, X. Zhuang, Y. Zhao, and A. Blanchard. Enhanced binary tree genetic algorithm for automatic land cover classification. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), volume II, pages 688--692, 2000.

#30: F. Zhu, Y. Zhao, K. Palaniappan, X. Zhou, and X. Zhuang

Optimal Bayesian classifier for land cover classification using Landsat TM data

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume I, pgs. 447--450, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Zhao:landcover-BTGA-2000,
  author = "F. Zhu and Y. Zhao and K. Palaniappan and X. Zhou and X. Zhuang",
  title = "Optimal Bayesian classifier for land cover classification using Landsat TM data",
  year = 2000,
  booktitle = "IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS)",
  volume = I,
  pages = "447--450",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing",
  doi = "10.1109/IGARSS.2000.860560",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=860560"
}

F. Zhu, Y. Zhao, K. Palaniappan, X. Zhou, and X. Zhuang. Optimal Bayesian classifier for land cover classification using Landsat TM data. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), volume I, pages 447--450, 2000.

#28: X. Zhuang, K. Palaniappan, and R. M. Haralick

Highly robust statistical methods based on minimum-error Bayesian classification

Visual Information Representation, Communication and Image Processing, Marcel-Dekker, pgs. 415--430, 1999

classification, data mining, machine learning

Bibtex, PlainText, Google Scholar

@incollection{Zhuang:book-robust-1999,
  author = "X. Zhuang and K. Palaniappan and R. M. Haralick",
  title = "Highly robust statistical methods based on minimum-error Bayesian classification",
  year = 1999,
  booktitle = "Visual Information Representation, Communication and Image Processing",
  publisher = "Marcel-Dekker",
  pages = "415--430",
  keywords = "classification, data mining, machine learning"
}

#25: J. Vass, K. Palaniappan, and X. Zhuang

Automatic spatio-temporal video sequence segmentation

IEEE Int. Conf. Image Processing, pgs. 958--962, 1998

detection, motion, segmentation, image analysis, color, shape, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Vass:ICIP-1998,
  author = "J. Vass and K. Palaniappan and X. Zhuang",
  title = "Automatic spatio-temporal video sequence segmentation",
  year = 1998,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "958--962",
  keywords = "detection, motion, segmentation, image analysis, color, shape, data mining, cbir",
  doi = "10.1109/ICIP.1998.723681",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=723681"
}

J. Vass, K. Palaniappan, and X. Zhuang. Automatic spatio-temporal video sequence segmentation. IEEE Int. Conf. Image Processing, pages 958--962, 1998.

#23: J. Vass, J. Yao, A. Joshi, K. Palaniappan, and X. Zhuang

Interactive image retrieval over the Internet

17th IEEE Symp. Reliable Distributed Systems, pgs. 461--466, 1998

segmentation, image analysis, color, shape, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Vass:image-retrieval-1998,
  author = "J. Vass and J. Yao and A. Joshi and K. Palaniappan and X. Zhuang",
  title = "Interactive image retrieval over the Internet",
  year = 1998,
  booktitle = "17th IEEE Symp. Reliable Distributed Systems",
  pages = "461--466",
  keywords = "segmentation, image analysis, color, shape, data mining, cbir",
  doi = "10.1109/RELDIS.1998.740541",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=740541"
}

J. Vass, J. Yao, A. Joshi, K. Palaniappan, and X. Zhuang. Interactive image retrieval over the Internet. 17th IEEE Symp. Reliable Distributed Systems, pages 461--466, 1998.

#17: X. Zhuang, Y. Huang, K. Palaniappan, and Y. Zhao

Gaussian mixture density modeling, decomposition and applications

IEEE Trans. Image Processing, Volume 5, pgs. 1293--1302, 1996

classification, data mining, machine learning

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Zhuang:TIP-1996,
  author = "X. Zhuang and Y. Huang and K. Palaniappan and Y. Zhao",
  title = "Gaussian mixture density modeling, decomposition and applications",
  year = 1996,
  journal = "IEEE Trans. Image Processing",
  volume = 5,
  number = 9,
  pages = "1293--1302",
  keywords = "classification, data mining, machine learning",
  doi = "10.1109/83.535841"
}

X. Zhuang, Y. Huang, K. Palaniappan, and Y. Zhao. Gaussian mixture density modeling, decomposition and applications. IEEE Trans. Image Processing, volume 5, issue 9, pages 1293--1302, 1996.

34 publications with the keyword "data mining"

classification, features, machine learning, data mining, biomedical

wami, visual events, fusion, data mining, fmv, dod

cell detection, cell classification, features, texture, machine learning, data mining, biomedical

wami, tracking, fmv, features, motion, fusion, data mining, machine learning, dod

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

machine learning, detection, classification, features, texture, data mining

wami, visual events, fusion, data mining, gis, dod

cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

fmv, motion, features, fusion, visual events, data mining, cbir

fmv, motion, features, fusion, visual events, data mining, cbir

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

fmv, features, fusion, visual events, data mining, cbir

fmv, features, fusion, visual events, data mining, cbir

fmv, features, fusion, visual events, data mining, cbir

histopathology, active contours, classification, features, texture, data mining, biomedical

gis, data mining, features, machine learning, parallelization, cbir

cell segmentation, segmentation, active contours, data mining

gis, fusion, parallelization, data mining, remote sensing

gis, data mining, features, machine learning, visualization, remote sensing, cbir

data mining, machine learning, classification

gis, data mining, features, machine learning, shape, remote sensing, cbir

data mining, visualization, plants

motion, visual events, tracking, data mining

data mining, machine learning, classification

gis, classification, segmentation, data mining, machine learning, remote sensing

gis, classification, segmentation, data mining, machine learning, remote sensing

gis, classification, segmentation, data mining, machine learning, remote sensing

gis, classification, segmentation, data mining, machine learning, remote sensing

classification, data mining, machine learning

detection, motion, segmentation, image analysis, color, shape, data mining, cbir

segmentation, image analysis, color, shape, data mining, cbir

classification, data mining, machine learning