Computational Imaging & VisAnalysis

#256: J. Peng, A. J. Aved, G. Seetharaman, and K. Palaniappan

Multiview Boosting With Information Propagation for Classification

IEEE Transactions on Neural Networks and Learning Systems, 2017

biometrics, boosting, classification, convergence, data fusion, multiarmed bandits, multiview learning

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

@article{Peng-TNNLS-2017,
  author = "J. Peng and A. J. Aved and G. Seetharaman and K. Palaniappan",
  title = "Multiview Boosting With Information Propagation for Classification",
  year = 2017,
  journal = "IEEE Transactions on Neural Networks and Learning Systems",
  month = "Feb",
  keywords = "biometrics, boosting, classification, convergence, data fusion, multiarmed bandits, multiview learning",
  doi = "10.1109/TNNLS.2016.2637881"
}

J. Peng, A. J. Aved, G. Seetharaman, and K. Palaniappan. Multiview Boosting With Information Propagation for Classification. IEEE Transactions on Neural Networks and Learning Systems, February 2017.

#241: Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude

CNN - Based Image Analysis for Malaria Diagnosis

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016

deep learning, malaira, cells, classification, biomedical

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{2016a,
  author = "Z. Liang and S. Jaeger and G. Thoma and J. Huang and P. Guo and A. Powell and K. Silamut and I. Ersoy and M. Poostchi and K. Palaniappan and R. J. Maude",
  title = "CNN - Based Image Analysis for Malaria Diagnosis",
  year = 2016,
  journal = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  month = "Dec",
  keywords = "deep learning, malaira, cells, classification, biomedical"
}

Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude. CNN - Based Image Analysis for Malaria Diagnosis. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2016.

#215: F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan

A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pgs. 450-453, 2015

biomedical, histopathology, segmentation, classification

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

@inproceedings{Bunyak:histo-seg-2015,
  author = "F. Bunyak and A. Hafiane and Z. Al-Milagi and I. Ersoy and A. Haridas and K. Palaniappan",
  title = "A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images",
  year = 2015,
  booktitle = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  pages = "450-453",
  keywords = "biomedical, histopathology, segmentation, classification",
  url = "http://cci.drexel.edu/ieeebibm/bibm2015/index.html"
}

F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan. A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 450-453, 2015.

#200: A. Hafiane, K. Palaniappan, and G. Seetharaman

Joint Adaptive Median Binary Patterns for texture classification

Pattern Recognition, Volume 48, pgs. 2609-2620, 2015

texture, lbp, classification, cbir

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

@article{Adel:AdaptiveMBP-PR-2015,
  author = "A. Hafiane and K. Palaniappan and G. Seetharaman",
  title = "Joint Adaptive Median Binary Patterns for texture classification",
  year = 2015,
  journal = "Pattern Recognition",
  volume = 48,
  number = 8,
  pages = "2609-2620",
  keywords = "texture, lbp, classification, cbir",
  doi = "10.1016/j.patcog.2015.02.007",
  url = "http://www.sciencedirect.com/science/article/pii/S0031320315000679"
}

A. Hafiane, K. Palaniappan, and G. Seetharaman. Joint Adaptive Median Binary Patterns for texture classification. Pattern Recognition, volume 48, issue 8, pages 2609-2620, 2015.

#191: A. Hafiane, K. Palaniappan, and G. Seetharaman

Adaptive median binary patterns for texture classification

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2014

texture, lbp, classification, cbir

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

@inproceedings{Adel:AdaptiveLBP-ICPR-2014,
  author = "A. Hafiane and K. Palaniappan and G. Seetharaman",
  title = "Adaptive median binary patterns for texture classification ",
  year = 2014,
  booktitle = "Proc. IEEE International Conference on Pattern Recognition (ICPR)",
  month = "Aug",
  keywords = "texture, lbp, classification, cbir",
  doi = "10.1109/ICPR.2014.205"
}

A. Hafiane, K. Palaniappan, and G. Seetharaman. Adaptive median binary patterns for texture classification . Proc. IEEE International Conference on Pattern Recognition (ICPR), August 2014.

#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.

#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.

#97: F. Bunyak and K. Palaniappan

Level set-based fast multi-phase graph partitioning active contours using constant memory

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 145--155, 2009

detection, segmentation, active contours, motion, classification

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

@article{Bunyak:ACIVS-2009,
  author = "F. Bunyak and K. Palaniappan",
  title = "Level set-based fast multi-phase graph partitioning active contours using constant memory",
  year = 2009,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5807,
  pages = "145--155",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1007/978-3-642-04697-1_14",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-642-04697-1_14"
}

F. Bunyak and K. Palaniappan. Level set-based fast multi-phase graph partitioning active contours using constant memory. Lecture Notes in Computer Science (ACIVS), volume 5807, pages 145--155, 2009.

#99: S. K. Nath and K. Palaniappan

Fast graph partitioning active contours for image segmentation using histograms

EURASIP Journal on Image and Video Processing, pgs. 9p, 2009

detection, segmentation, active contours, motion, classification

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

@article{Nath:fGAPC-JIVP-2009,
  author = "S. K. Nath and K. Palaniappan",
  title = "Fast graph partitioning active contours for image segmentation using histograms",
  year = 2009,
  journal = "EURASIP Journal on Image and Video Processing",
  pages = "9p",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1155/2009/820986",
  url = "http://jivp.eurasipjournals.com/content/2009/1/820986"
}

S. K. Nath and K. Palaniappan. Fast graph partitioning active contours for image segmentation using histograms. EURASIP Journal on Image and Video Processing, pages 9p, 2009.

#102: F. Bunyak and K. Palaniappan

Efficient segmentation using feature-based graph partitioning active contours

12th IEEE Int. Conf. Computer Vision, pgs. 873--880, 2009

detection, segmentation, active contours, motion, classification

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

@inproceedings{Bunyak:ICCV-2009,
  author = "F. Bunyak and K. Palaniappan",
  title = "Efficient segmentation using feature-based graph partitioning active contours",
  year = 2009,
  booktitle = "12th IEEE Int. Conf. Computer Vision",
  pages = "873--880",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1109/ICCV.2009.5459320",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5459320"
}

F. Bunyak and K. Palaniappan. Efficient segmentation using feature-based graph partitioning active contours. 12th IEEE Int. Conf. Computer Vision, pages 873--880, 2009.

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

Evaluation of level set-based histology image segmentation using geometric region criteria

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2009

histopathology, active contours, classification, segmentation, features, texture, biomedical

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

@inproceedings{Hafiane:ISBI-2009,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Evaluation of level set-based histology image segmentation using geometric region criteria",
  year = 2009,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1109/ISBI.2009.5192968",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5192968"
}

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

Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection

Lecture Notes in Computer Science (ACIVS), Volume 5259, pgs. 903--914, 2008

histopathology, active contours, classification, segmentation, features, texture, biomedical

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

@article{Hafiane:ACIVS-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection",
  year = 2008,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5259,
  pages = "903--914",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, 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. Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection. Lecture Notes in Computer Science (ACIVS), volume 5259, pages 903--914, 2008.

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

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation

IEEE Int. Conf. Pattern Recognition, pgs. Online, 2008

histopathology, active contours, classification, segmentation, features, biomedical

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

@inproceedings{Hafiane:ICPR-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation",
  year = 2008,
  booktitle = "IEEE Int. Conf. Pattern Recognition",
  pages = "Online",
  keywords = "histopathology, active contours, classification, segmentation, features, biomedical",
  doi = "10.1109/ICPR.2008.4761744",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4761744"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation. IEEE Int. Conf. Pattern Recognition, pages Online, 2008.

#73: A. Hafiane, G. Seetharaman, K. Palaniappan, and B. Zavidovique

Rotationally invariant hashing of median binary patterns for texture classification

Lecture Notes in Computer Science (ICIAR), Volume 5112, pgs. 619--629, 2008

texture, image enhancement, classification, segmentation, cbir

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

@article{Hafiane:ICIAR-2008,
  author = "A. Hafiane and G. Seetharaman and K. Palaniappan and B. Zavidovique",
  title = "Rotationally invariant hashing of median binary patterns for texture classification",
  year = 2008,
  journal = "Lecture Notes in Computer Science (ICIAR)",
  volume = 5112,
  pages = "619--629",
  keywords = "texture, image enhancement, classification, segmentation, cbir",
  doi = "10.1007/978-3-540-69812-8_61",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-69812-8_61"
}

A. Hafiane, G. Seetharaman, K. Palaniappan, and B. Zavidovique. Rotationally invariant hashing of median binary patterns for texture classification. Lecture Notes in Computer Science (ICIAR), volume 5112, pages 619--629, 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.

#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.

#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"
}

#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.

25 publications with the keyword "classification"

biometrics, boosting, classification, convergence, data fusion, multiarmed bandits, multiview learning

deep learning, malaira, cells, classification, biomedical

biomedical, histopathology, segmentation, classification

texture, lbp, classification, cbir

texture, lbp, classification, cbir

classification, features, machine learning, data mining, biomedical

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

detection, segmentation, active contours, motion, classification

detection, segmentation, active contours, motion, classification

detection, segmentation, active contours, motion, classification

histopathology, active contours, classification, segmentation, features, texture, biomedical

histopathology, active contours, classification, segmentation, features, texture, biomedical

histopathology, active contours, classification, segmentation, features, biomedical

texture, image enhancement, classification, segmentation, cbir

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

data mining, machine learning, classification

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

classification, data mining, machine learning