Internet supercomputing is becoming an increasingly popular means for harnessing the power of a vast number of interconnected computers. This comes at a cost substantially lower t...
Seda Davtyan, Kishori M. Konwar, Alexander A. Shva...
As a well known fixed-point iteration algorithm for kernel
density mode-seeking, Mean-Shift has attracted wide attention
in pattern recognition field. To date, Mean-Shift algorit...
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
We propose an analytic method to overcome the trade-off between the spatial and tonal resolution of traditional clustered dot halftones. Continuous phase modulated halftones that ...