The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
This paper considers the problem of transforming a resource feasible, fixed-times schedule into a partial order schedule (POS) to enhance its robustness and stability properties. ...
Nicola Policella, Angelo Oddi, Stephen F. Smith, A...
A ring oscillator based true-random number generator design (Rings design) was introduced in [1]. The design was rigorously analyzed under a mathematical model and its performance...
Sang-Kyung Yoo, Deniz Karakoyunlu, Berk Birand, Be...
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
Jilin Tu, ZhenQiu Zhang, Zhihong Zeng, Thomas S. H...