In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques. This deformation approach proceeds from the observ...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
d Abstract) Brian Aydemir Aaron Bohannon Stephanie Weirich Department of Computer and Information Science University of Pennsylvania Philadelphia, PA, USA We explore an axiomatize...
Brian E. Aydemir, Aaron Bohannon, Stephanie Weiric...
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...