Mark Schmidt, Glenn Fung, Kevin Murphy, and Rómer Rosales
Discriminative Structure Learning in Random Fields and an Application for Heart Motion Abnormality Detection (pdf)
To Appear in Proc. Computer Vision and Pattern Recognition (CVPR) 2008.
R. Bharat Rao, Glenn Fung, and Rómer Rosales
On the Dangers of Cross-Validation. An Experimental Evaluation (pdf)
To Appear in Proc. SIAM Data Mining (SDM) 2008.
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, and R. Bharat Rao
Bayesian Co-Training (pdf)
In Proc. Neural Information Processing Systems (NIPS) 2007.
Rómer Rosales, Praveen Krishnamurthy, and R. Bharat Rao
Semi-supervised Active Learning for Modeling Medical Concepts from Free Text (pdf)
In Proc. International Conference on Machine Learning Applications (ICMLA), 2007.
Mark Schmidt, Glenn
Fung, and Rómer Rosales
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches (pdf, slides)
In
Proc. European Conference on Machine Learning (ECML) 2007.
Glenn
Fung, Rómer Rosales,
and R. Bharat Rao
Feature Selection and Kernel Design via Linear Programming (pdf)
In
Proc. International Joint Conference on Artificial Intelligence (IJCAI) 2007.
Maleeha
Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao,
Don Poldermans, and Dhanalakshmi Chandrasekaran
Automated HeartWall Motion Abnormality Detection From Ultrasound Images using
Bayesian Networks (pdf)
Distinguished Paper Award
In
Proc. International Joint Conference on Artificial Intelligence (IJCAI) 2007.
Rómer Rosales
and Glenn Fung
Learning 'Sparse' Metrics via Linear Programming (pdf)
In
Proc. Knowledge Discovery and Data Mining (KDD) 2006.
Rómer Rosales and Stan Sclaroff
Combining generative and discriminative models in a framework for articulated
pose estimation (pdf)
International Journal of Computer Vision
(IJCV) Volume 67 (3) p. 251-276, 2006
Example
applications
Glenn
Fung, Rómer Rosales,
and Balaji Krishnapuram
Learning
Rankings via Convex Hull Separation (pdf)
In
Proc. Neural Information Processing Systems (NIPS) 2005.
Rómer Rosales
and Tommi Jaakkola
Focused Inference
(pdf|ps|slides)
In
Artificial Intelligence and Statistics (AISTATS). Jan 2005.
Rómer Rosales, Kannan Achan,
and Brendan Frey
Learning to Cluster using Local Neighborhood Structure (pdf|ps|slides)
In
Proc. International Conference on Machine Learning (ICML). Jul
2004.
Rómer Rosales, Kannan Achan,
and Brendan Frey
Unsupervised Image Translation (pdf|ps)
In
Proc. International Conference on Computer Vision (ICCV). Oct 2003.
Example
translations
Rómer Rosales and Brendan Frey
Learning Generative Models of Affinity Matrices
(pdf|ps)
In Proc. 19th Conference on Uncertainty in Artificial Intelligence (UAI).
Aug 2003.
Rómer Rosales, Kannan Achan,
and Brendan Frey
Translating Images by Unsupervised Estimation of Switching Filters (pdf|ps)
In Proc. IEEE Workshop on Statistical Signal Processing (SSP) (invited
paper). Sep 2003.
Rómer Rosales and Stan Sclaroff
A Framework
for Heading-Guided Recognition of Human Activity (pdf| ps)
Computer Vision and Image Understanding Journal (CVIU) 2003.
Rómer Rosales and Stan Sclaroff
Algorithms for Interence in the SMA
In Proc.
5th IEEE International Conference on Automatic Face and Gesture Recognition
(FG2002). Presented in FG2002, Washington, DC, May 2002. .
Rómer Rosales
The Specialized Mappings Architecture with
Applications to Vision-Based Estimation of Articulated Body
Pose (pdf|ps|Abstract)
Ph.D.
Thesis. Jan 2002.
Rómer Rosales and Stan Sclaroff
Learning Body Pose
Via Specialized Maps (pdf)
In Proc. Neural Information Processing Systems NIPS-14, 2002.
Presented at NIPS, Vancouver, BC, Dec 2001.
Stan Sclaroff, George Kollios, Margrit Betke, and Rómer
Rosales
Motion
Mining
Lecture Notes in Computer Science; Vol 2184. Proc. 2nd
International Workshop on Multimedia Databases and Image Communication, 2001
Rómer Rosales, Matheen Siddiqui, Joni Alon, and Stan Sclaroff
3D Body Pose Using Uncalibrated Cameras (ps.gz)
In Proc. IEEE Computer Vision and Pattern Recognition (CVPR).
Presented at CVPR, Kauai, Hawaii, Dec 2001.
Rómer Rosales, Vassilis Athitsos, and Stan Sclaroff
3D Hand Pose Reconstruction Using Specialized Mappings (pdf)
In Proc. IEEE International Conference on Computer Vision (ICCV).
Presented at ICCV, Vancouver, BC, Canada, Jul 2001.
Rómer Rosales and Stan Sclaroff
Specialized Mappings and the Estimation of Human Body Pose from a Single Image (ps)
In Proc. IEEE Workshop on Human Motion (HUMO). Presented at HUMO,
Austin, TX, Dec 2000.
Rómer Rosales and Stan Sclaroff
Inferring Body Pose Without Tracking Body Parts (ps.Z)
In Proc. IEEE Computer Vision and Pattern Recogniton (CVPR).
Presented at CVPR, Hilton Head Island, SC, Jun 2000.
Rómer Rosales and Stan Sclaroff
Learning
and Synthesizing Human Body Pose and Motion
In Proc. 4th IEEE International Conference on Automatic
Face and Gesture Recognition (FG2000). Presented at FG200, Grenoble, France,
2000.
Rómer Rosales and Stan Sclaroff
Trajectory
Guided Recognition
In Proc. SPIE
99. Presented at SPIE, Boston, MA, 1999.
Rómer Rosales and Stan Sclaroff
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actios (ps.Z)
In Proc. IEEE Computer Vision and Pattern Recognition (CVPR).
Presented at CVPR, Fort Collins, CO, 1999
Rómer Rosales
Recognition of Human Action Using Moment-Based Features (ps.Z)
Boston University Computer Science Technical Report BU 1998-020,
Boston, MA, 1998.
Rómer Rosales and Stan Sclaroff
Improved Tracking of Multiple Humans with Trajectory Prediction and Occlusion Modeling (ps.Z)
In Proceedings IEEE CVPR Workshop on the Interpretation of Visual
Motion. Presented at CVPR, Santa
Barbara, CA, 1998
