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ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
115
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
137
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we proposed a novel real-time abnormal event detection framework that requires a short training period and has a fast processing speed. Our approach is based on phas...
162
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IPPS
2010
IEEE
15 years 1 months ago
2010
IEEE
There is building interest in using FPGAs as accelerators for high-performance computing, but existing systems for programming them are so far inadequate. In this paper we propose...
133
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ACL
2009
15 years 1 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...