2109 search results - page 378 / 422 » Vector Processing in Ada |
107
Voted
ICDM
2010
IEEE
15 years 18 days 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...
109
Voted
ICPR
2010
IEEE
15 years 18 days 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...
128
Voted
ICPR
2010
IEEE
15 years 18 days 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...
157
Voted
IPPS
2010
IEEE
15 years 17 days 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...
127
Voted
ACL
2009
15 years 14 days 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...