34 publications with the keyword "data mining"


#131: 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
#121: 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
#113: 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
#122: 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
#111: 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
#103: 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
#101: 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
#98: 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
#96: 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
#94: 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
#93: 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
#82: 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
#81: 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
#76: 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
#75: 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
#74: 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
#69: 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
#64: 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
#63: 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
#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
#55: 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
#53: 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
#52: 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
#50: 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
#45: 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
#43: 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
#40: 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
#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
#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
#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
#27: 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
#23: 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
#21: 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
#19: 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