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» Genetic Algorithms for Component Analysis
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CORR
2010
Springer
189views Education» more  CORR 2010»
15 years 2 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi
DASIP
2010
14 years 10 months ago
RVC: A multi-decoder CAL Composer tool
The Reconfigurable Video Coding (RVC) framework is a recent ISO standard aiming at providing a unified specification of MPEG video technology in the form of a library of component...
Francesca Palumbo, Danilo Pani, Emanuele Manca, Lu...
213
Voted
FASE
2011
Springer
14 years 7 months ago
Automated Learning of Probabilistic Assumptions for Compositional Reasoning
Probabilistic verification techniques have been applied to the formal modelling and analysis of a wide range of systems, from communication protocols such as Bluetooth, to nanosca...
Lu Feng, Marta Z. Kwiatkowska, David Parker
148
Voted
EDBT
2012
ACM
228views Database» more  EDBT 2012»
13 years 5 months ago
Finding maximal k-edge-connected subgraphs from a large graph
In this paper, we study how to find maximal k-edge-connected subgraphs from a large graph. k-edge-connected subgraphs can be used to capture closely related vertices, and findin...
Rui Zhou, Chengfei Liu, Jeffrey Xu Yu, Weifa Liang...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 6 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