We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
This paper presents Cooperative Cache Partitioning (CCP) to allocate cache resources among threads concurrently running on CMPs. Unlike cache partitioning schemes that use a singl...
In this paper we present two contributions to improve accuracy and speed of an image search system based on bag-of-features: a contextual dissimilarity measure (CDM) and an effici...
In 1998, Blaze, Bleumer, and Strauss proposed an application called atomic proxy re-encryption, in which a semi-trusted proxy converts a ciphertext for Alice into a ciphertext for...
Giuseppe Ateniese, Kevin Fu, Matthew Green, Susan ...
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...