Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
— Reliability and energy efficiency are critical issues in wireless sensor networks. In this work, we study Delay-bounded Energy-constrained Adaptive Routing (DEAR) problem with...
Shi Bai, Weiyi Zhang, Guoliang Xue, Jian Tang, Cho...
The problems of query containment, equivalence, and minimization are recognized as very important in the context of query processing, specifically of query optimization. In their...
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...
A dynamically reconfigurable processor (DRP) is designed to achieve high area efficiency by switching reconfigurable data paths dynamically. Our DRP architecture has a stand alone...