Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
An architectural solution to reducing memory energy consumption is to adopt a multi-bank memory system instead of a monolithic (single-bank) memory system. Some recent multi-bank ...
Victor De La Luz, Mahmut T. Kandemir, Ibrahim Kolc...
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
Researchers have not studied e-commerce distrust as much as ecommerce trust. This study examines whether trust and distrust are distinct concepts. If trust and distrust are the sa...
A number of geometric active contour and surface models have been proposed for shape segmentation in the literature. The essential idea is to evolve a curve (in 2D) or a surface (i...