Shipeng Yu, Balaji Krishnapuram, Romer Rosales, R. Bharat Rao
Labels are often expensive to get, and this motivates active learning which chooses the most informative samples for label acquisition. In this paper we study active sensing in a multi-view setting,...
IKM CKS Siemens Medical Solutions USA (2010)
R. Bharat Rao, Romer Rosales, Glenn Fung
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potentially, helping to...
Privacy-Preserving Cox Regression for Survival Analysis (2010)
Shipeng Yu, Glenn Fung, Romer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-oberije
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we propose a...
Multi-Class Classifiers and Their Underlying Shared Structure (2009)
Volkan Vural, Glenn Fung, Romer Rosales, Jennifer G. Dy
Multi-class problems have a richer structure than binary classification problems. Thus, they can potentially improve their performance by exploiting the relationship among class labels. While for the...
Privacy-Preserving Cox Regression for Survival Analysis (2009)
Shipeng Yu, Glenn Fung, Romer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-oberije
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we propose a...
Shipeng Yu, Balaji Krishnapuram, Romer Rosales, Harald Steck, R. Bharat Rao
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumptions of a large class...
Shipeng Yu, Balaji Krishnapuram, Romer Rosales, Harald Steck, R. Bharat Rao
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumptions of a large class...
Mark Schmidt, Glenn Fung, Romer Rosales
1 Smooth L1-norm aproximation In order to deal with the non-differentiable penalty, we propose a smooth approximation to the L1 penalty based on the following: (i) |x | = (x)+ + (−x)+, where the...
Mining Medical Records for Computer Aided Diagnosis (2008)
R. Bharat Rao, Romer Rosales, Stefan Niculescu, Sriram Krishnan, Luca Bogoni, Xiang S. Zhou, ...
Mining Medical Records for Computer Aided Diagnosis (2008)
R. Bharat Rao, Romer Rosales, Stefan Niculescu, Sriram Krishnan, Luca Bogoni, Xiang S. Zhou, ...
SP.CLS V2.6SP. Supported by ACM. (2008)
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficiency since distances...
Feature Selection and Kernel Design via Linear Programming (2008)
Glenn Fung, Romer Rosales, R. Bharat Rao
The definition of object (e.g., data point) similarity is critical to the performance of many machine learning algorithms, both in terms of accuracy and computational efficiency. However, it is often...
Feature Selection and Kernel Design via Linear Programming (2008)
Glenn Fung, Romer Rosales, R. Bharat Rao
The definition of object (e.g., data point) similarity is critical to the performance of many machine learning algorithms, both in terms of accuracy and computational efficiency. However, it is often...
3D Hand Pose Reconstruction Using Specialized Mappings (2006)
Rosales, Romer, Athitsos, Vassilis, Sigal, Leonid, Sclaroff, Stan
A system for recovering 3D hand pose from monocular color sequences is proposed. The system employs a non-linear supervised learning framework, the specialized mappings architecture (SMA), to map...
Estimating 3D body pose using uncalibrated cameras (2001)
Romer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff
An approach for estimating 3D body pose from multiple, uncalibrated views is proposed. First, a mapping from image features to 2D body joint locations is computed using a statistical framework that...
Estimating 3D body pose using uncalibrated cameras (2001)
Romer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff
An approach for estimating 3D body pose from multiple, uncalibrated views is proposed. First, a mapping from image features to 2D body joint locations is computed using a statistical framework that...
Estimating 3D body pose using uncalibrated cameras (2001)
Romer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff
An approach for estimating 3D body pose from multiple, uncalibrated views is proposed. First, a mapping from image features to 2D body joint locations is computed using a statistical framework that...
3D hand pose reconstruction using specialized mappings (2001)
Romer Rosales, Vassilis Athitsos, Stan Sclaroff
A system for recovering 3D hand pose from monocular color sequences is proposed. The system employs a non-linear supervised learning framework, the specialized mappings architecture (SMA), to map...
Specialized mappings and the estimation of human body pose from a single image (2000)
We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a non-linear supervised learning architecture. SMA's...
Inferring Body Pose without Tracking Body Parts (2000)
A novel approach for estimating articulated body posture and motion from monocular video sequences is proposed. Human pose is defined as the instantaneous two dimensional configuration (i.e.,the...
A mechanism is proposed that integrates low-level (image processing), mid-level (recursive 3D trajectory estimation), and high-level (action recognition) processes. It is assumed that the system...
Recognition of human action using moment-based features (1998)
The performance of different classification approaches is evaluated using a view-based approach for motion representation. The view-based approach uses computer vision and image processing techniques...