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ICCV
2011
IEEE
12 years 8 months ago
Tight Convex Relaxations for Vector-Valued Labeling Problems
The multi-label problem is of fundamental importance to computer vision, yet finding global minima of the associated energies is very hard and usually impossible in practice. Rec...
Evgeny Strekalovskiy, Bastian Goldluecke, Daniel C...
DAC
2000
ACM
14 years 9 months ago
Embedded hardware and software self-testing methodologies for processor cores
At-speed testing of GHz processors using external testers may not be technically and economically feasible. Hence, there is an emerging need for low-cost, high-quality self-test m...
Li Chen, Sujit Dey, Pablo Sanchez, Krishna Sekar, ...
CHI
2009
ACM
14 years 9 months ago
Sharing digital photographs in the home by tagging memorabilia
Abstract Within the home, digital photos lack the physical affordances that make collocated photo-sharing easy and opportunistic. Family members have difficulty accessing the perso...
Saul Greenberg, Michael Nunes
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
14 years 5 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
ICPP
2008
IEEE
14 years 3 months ago
Enabling Streaming Remoting on Embedded Dual-Core Processors
Dual-core processors (and, to an extent, multicore processors) have been adopted in recent years to provide platforms that satisfy the performance requirements of popular multimed...
Kun-Yuan Hsieh, Yen-Chih Liu, Po-Wen Wu, Shou-Wei ...