This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
Finding correspondences of two images taken from largely different camera configuration is a challenging problem because appearance information such as color, intensity and edge o...
This paper proposes an optimization method for the design of large scale confederation based BGP networks. We propose a graph based model and an associated metric to evaluate the r...
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...