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» A Soft Robust Model for Optimization Under Ambiguity
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INFOCOM
2007
IEEE
14 years 1 months ago
On Optimal MAC Scheduling With Physical Interference
— We propose a general family of MAC scheduling algorithms that achieve any rate-point on a uniform discretelattice within the throughput-region (i.e., lattice-throughputoptimal)...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
TVCG
2010
160views more  TVCG 2010»
13 years 5 months ago
Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods
—In this paper, we introduce a feature-preserving denoising algorithm. It is built on the premise that the underlying surface of a noisy mesh is piecewise smooth, and a sharp fea...
Hanqi Fan, Yizhou Yu, Qunsheng Peng
INFOCOM
2002
IEEE
14 years 13 days ago
Performance Optimization of VoIP Calls over Wireless Links Using H.323 Protocol
—Intelligent mobile terminals (or users) of next generation wireless networks are expected to initiate voice over IP (VoIP) calls using session set-up protocols like H.323 or SIP...
Sajal K. Das, Sanjoy K. Sen, Naveen K. Kakani
CVPR
2010
IEEE
14 years 3 months ago
Spatialized Epitome and Its Applications
Due to the lack of explicit spatial consideration, existing epitome model may fail for image recognition and target detection, which directly motivates us to propose the so-calle...
Xinqi Chu, Shuicheng Yan, Liyuan Li, Kap Luk Chan,...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang