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CVPR
2012
IEEE
13 years 8 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
TIFS
2008
157views more  TIFS 2008»
15 years 6 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 6 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 6 months ago
Automatic Modular Abstractions for Template Numerical Constraints
c Modular Abstractions for Template Numerical Constraints David Monniaux May 26, 2010 We propose a method for automatically generating abstract transformstatic analysis by abstrac...
David Monniaux
WISEC
2009
ACM
16 years 1 months ago
Practical defenses against pollution attacks in intra-flow network coding for wireless mesh networks
Recent studies show that network coding can provide significant benefits to network protocols, such as increased throughput, reduced network congestion, higher reliability, and ...
Jing Dong, Reza Curtmola, Cristina Nita-Rotaru