In this paper we propose a technique for visualizing steady flow. Using this technique, we first convert the vector field data into a scalar level-set representation. We then a...
This paper presents a complete face authentication system integrating 2D intensity and 3D range data, based on a low-cost, real-time structured light sensor. Novel algorithms are ...
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
Software development is prone to time-consuming and expensive errors. Finding and correcting errors in a program (debugging) is usually done by executing the program with differen...
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...