This paper presents a novel approach for post-mapping optimization. We exploit the concept of generalized matching, a technique that nds symbolically all possible matching assignm...
We extend the framework of mixed multi-unit combinatorial auctions to include time constraints, present an expressive bidding language, and show how to solve the winner determinati...
Abstract. We study an energy functional for computing optical flow that combines three assumptions: a brightness constancy assumption, a gradient constancy assumption, and a discon...
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
We present a novel approach for the estimation of 3Dmotion directly from two images using the Radon transform. We assume a similarity function defined on the crossproduct of two i...
Ameesh Makadia, Christopher Geyer, Shankar Sastry,...