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» Trading convexity for scalability
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NIPS
2008
13 years 9 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
ICIP
2003
IEEE
14 years 9 months ago
Complexity scalable mode-based H.263 video transcoding
While hitrate-reduction video transcoding is a mature research topic, we introduce a irew paradigni for the old prohlein: designing a complexity scalable transcoder where computat...
J. Yeh, German K. M. Cheung
IEEEAMS
2003
IEEE
14 years 25 days ago
Rich and Scalable Peer-to-Peer Search with SHARK
SHARK is a novel concept and middleware service for search in peer-to-peer (P2P) networks. Rather than flooding a network like Gnutella or imposing numerical IDs on objects like d...
Jan Mischke, Burkhard Stiller
ICML
2009
IEEE
14 years 8 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 4 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...