.
Y. Gong, S. Kumar, V. Verma,
and S. Lazebnik
Advances in Neural Information Processing Systems (NIPS), 2012.
.
J. He, S. Kumar,
and S. F. Chang
International Conference on Machine Learning (ICML), 2012.
The supplementary file containing all the proofs is here.
NOTE: This is a slightly edited version of what is in the ICML proceedings.
.
W. Liu, J. Wang, Y. Mu, S. Kumar,
and S. F. Chang
International Conference on Machine Learning (ICML), 2012.
The supplementary file containing extended proofs and results is here.
.
J. Wang, S. Kumar,
and S. F. Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2012.
.
S. Kumar, M. Mohri
and A. Talwalkar
Journal of Machine Learning Research (JMLR), 2012.
.
W. Liu, J. Wang, S. Kumar, and S. F. Chang
International Conference on
Machine Learning (ICML), 2011.
.
A. Talwalkar, S. Kumar, M. Mohri
and H. Rowley
Book chapter in Manifold Learning Theory and Applications. Editors: Y. Ma and Y. Fu. CRC Press, 2011.
.
S. Kumar,
M. Mohri and A. Talwalkar
Book chapter in Ensemble Machine Learning: Theory and Applications, Springer, 2011.
Modified to correct an error in the computational complexity analysis. April 2011.
.
A. Makadia, V. Pavlovic and S. Kumar
International Journal on Computer Vision (IJCV), 2010.
.
J. Wang, S. Kumar,
and S. F. Chang
International Conference on
Machine Learning (ICML), 2010.
.
Z. Wang, M. Zhao, Y. Song, S. Kumar
and B. Li
IEEE Computer Vision and Pattern Recognition (CVPR), 2010.
.
J. Wang, S. Kumar,
and S. F. Chang
IEEE Computer Vision and Pattern Recognition (CVPR), 2010.
.
S. Kumar,
M. Mohri and A. Talwalkar
Neural Information Processing Systems (NIPS), 2009.
Modified to correct an error in the computational complexity analysis. April 2011.
.
S. Kumar,
M. Mohri and A. Talwalkar
International Conference on
Machine Learning (ICML), 2009.
.
S. Kumar,
M. Mohri and A. Talwalkar
Twelfth International Conference on
Artificial Intelligence and Statistics (AISTATS), 2009.
.
A. Makadia,
V. Pavlovic and S. Kumar
European Conference on Computer Vision (ECCV), 2008.
.
A. Talwalkar, S. Kumar and
H. A. Rowley
IEEE Computer Vision and Pattern Recognition (CVPR), 2008.
.
M. Kim,
S. Kumar, V. Pavlovic and
H. A. Rowley
IEEE Computer Vision and Pattern Recognition (CVPR), 2008.
·
S. Kumar and
H. A. Rowley
IEEE International Conference on Computer
Vision (ICCV), 2007.
Some additional results and parts of the
video and retrieval datasets used in this work can be seen here.
·
S. Kumar and M. Hebert
International Journal of Computer Vision
(IJCV), 68(2), 179-201, 2006.
·
S. Kumar,
J. August and M. Hebert
This paper is an extended and revised version of the earlier
work presented in Snowbird Learning Workshop, 2004.
·
S. Kumar
Models for Learning Spatial Interactions
in Natural Images for Context-Based Classification
PhD Thesis, The Robotics Institute, School of Computer Science,
Carnegie Mellon University, September 2005.
Revised October 2005.
·
S.
Kumar and M. Hebert
A Hierarchical Field Framework for Unified
Context-Based Classification
IEEE International Conference on Computer
Vision (ICCV), 2005.
Revised October 2005.
·
C. Rother, S. Kumar, V.
Kolmogorov and A. Blake
IEEE
International Conference on Computer Vision and Pattern Recognition (CVPR),
June, 2005.
[pdf]
·
S. Kumar and M. Hebert
In review, International Journal of
Computer Vision (IJCV), Submitted, 2004.
·
S. Kumar and M. Hebert
Snowbird Learning
Workshop, Utah, 2004.
The synthetic dataset used for
learning and inference experiments can be obtained from here.
·
S. Kumar and M. Hebert
Snowbird Learning
Workshop, Utah, 2004.
[pdf]
The binary denoising synthetic
dataset used for training and testing can be obtained from here.
·
S.
Kumar and M. Hebert
Discriminative Random Fields: A
Discriminative Framework for Contextual Interaction in Classification
IEEE International
Conference on Computer Vision (ICCV), 2003.
Man-Made Structure Detection in
Natural Images using a Causal Multiscale Random Field
IEEE International
Conference on Computer Vision and Pattern Recognition (CVPR), 2003.
Some more example
results and comparisons.
The structure detection database
used for training and testing can be obtained from here.
An Observation-Constrained Generative
Approach for Probabilistic Classification of Image Regions
Image
and Vision Computing, 21, pp. 87-97, 2003.
A shorter
version of this paper appeared in the following workshop:
Probabilistic Classification of
Image Regions using an Observation-Constrained Generative Approach
ECCV
Workshop on Generative Models based Vision (GMBV), 2002.
In Proc. IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), October 2004.
International Journal of Advanced Robotics, vol. 14, no.
2, pp. 87-104, 2000.
Journal
of Intelligent and Robotic Systems, vol. 28, pp. 325-341, 2000.
A New Approach for Nonlinear
Distortion Correction in Endoscopic Images Based on Least Squares Estimation
IEEE Transactions on Medical Imaging, vol. 18, no. 4, pp. 345-354,1999.
Real-Time Automatic Extraction of Lumen Region and Boundary from Endoscopic Images
IEE Journal of Medical & Biological Engineering & Computing, vol. 37, pp. 600-604, 1999.
Technique of Distortion Correction in Endoscopic
Images using a Polynomial Expansion
IEE Journal of Medical & Biological Engineering
& Computing, vol. 37, no. 1, pp. 8-12, 1999.
A Pipelined Architecture for Image Segmentation by
Adaptive Progressive Thresholding
Journal of Microprocessors and Microsystems, vol. 23,
no. 8-9, pp. 493-499, 1999.
Online Extraction of Lumen Region and Boundary from
Endoscopic Images Using a Quad Structure
IEE Conference on Image Processing and its
Applications (IPA), pp. 818-822, 1999.
A New Technique for the Segmentation of Lumen from
Endoscopic Images by Differential Region Growing
42nd Midwest Symposium on Circuits and Systems, New
Mexico, 1999.
2nd Scientific Meet. of Biomed. Eng. Soc., Singapore,
January 1999.
A Computer-Based Endoscopic Image Segmentation Technique for Lumen Extraction
13th
Int. Congress and Exhibition on Comp. Asst. Radio. Surgery, Paris, June, 1999.
13th
Int. Congress and Exhibition on Comp. Asst. Radio. Surgery, Paris, June, 1999.
Design of a Self Guided Vehicle (SGV) with Laser
Based Navigation System
National Seminar on Mechatronics, India, Madras,
1997.