Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We present a novel method for interactive retrieval of 3D shapes using physical objects. Our method is based on simple physical 3D interaction with a set of tangible blocks. As th...
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
The emergence of distributed Virtual Reality (VR) applications that run over the Internet has presented networked game application designers with new challenges. In an environment...
We argue in favor of the explicit inclusion of suspicion as a concrete concept to be used in the analysis of audit data in order to guide the search for evidence of misuse. Our ap...