Similarity measuring is a key problem for 3D model retrieval. In this paper, we propose a novel shape descriptor "Thickness Histogram" (TH) by uniformly estimating thick...
Yi Liu, Jiantao Pu, Hongbin Zha, Weibin Liu, Yusuk...
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
A hybrid approach that utilizes both statistical techniques and empirical methods seeks to provide more information about the performance of an application. In this paper, we prese...
This paper addresses the issue of how router complexity a ects the overall performance in deterministic and adaptive routing under virtual cut-through switching in k-ary n-cube ne...