We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
This paper addresses the following optimization problem in a plane multihop wireless networks under the physical interference model: From a given a set of communication links whose...
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...