We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...
A number of computational models of visual attention have been proposed based on the concept of saliency map, most of them validated using oculometric data. They are widely used fo...
—Multi-Vdd techniques enable application of lower supply voltage levels on cells with timing slacks. New voltage assignment, placement and voltage island partitioning methods are...
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen