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...
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
In this paper, we present a new technique for the e cient dynamic detection and removal of inactive clauses, i.e. clauses that do not a ect the solutions of interest of a Boolean ...
This paper envisions a distributed network storage service with Quality-ofService (QoS) guarantees, and describes its architecture and key mechanisms. When fully realized, this se...
Due to the unavoidable need for system debugging, performance tuning, and adaptation to new standards, the engineering change (EC) methodology has emerged as one of the crucial co...