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» On the Convergence of Bound Optimization Algorithms
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IJON
2007
184views more  IJON 2007»
13 years 8 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
JSS
2007
80views more  JSS 2007»
13 years 8 months ago
Feedback control-based dynamic resource management in distributed real-time systems
The resource management in distributed real-time systems becomes increasingly unpredictable with the proliferation of data-driven applications. Therefore, it is inefficient to all...
Tian He, John A. Stankovic, Michael Marley, Chenya...
PAMI
2007
249views more  PAMI 2007»
13 years 8 months ago
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...
CORR
2010
Springer
177views Education» more  CORR 2010»
13 years 5 months ago
AntiJam: Efficient Medium Access despite Adaptive and Reactive Jamming
Abstract--Intentional interference constitutes a major threat for communication networks operating over a shared medium where availability is imperative. Jamming attacks are often ...
Andréa W. Richa, Christian Scheideler, Stef...
ECCV
2008
Springer
14 years 10 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal