Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper repres...
We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
Peter L. Bartlett, Michael Collins, Benjamin Taska...
We present techniques to index mobile objects in order to efficiently answer range queries about their future positions. This problem appears in real-life applications, such as pr...
Dimitris Papadopoulos, George Kollios, Dimitrios G...
This paper addresses the problem of joint decoding of stereo JPEG image pairs. Such images typically contain a high degree of redundancy. Predictive coding could efficiently captu...
Markus B. Schenkel, Chong Luo, Pascal Frossard, Fe...