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» Fast Linear Discriminant Analysis Using Binary Bases
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TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
BMEI
2009
IEEE
13 years 8 months ago
A Framework of Adaptive Brain Computer Interfaces
Non-stationarity is often found in session-to-session transfers of Brain Computer Interfaces (BCIs). To cope with the problem, a framework based on Common Spatial Patterns (CSP), ...
Yan Li, Yasuharu Koike, Masashi Sugiyama
ICIP
2010
IEEE
13 years 5 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
CGF
2002
95views more  CGF 2002»
13 years 7 months ago
Intrinsic Parameterizations of Surface Meshes
Parameterization of discrete surfaces is a fundamental and widely-used operation in graphics, required, for instance, for texture mapping or remeshing. As 3D data becomes more and...
Mathieu Desbrun, Mark Meyer, Pierre Alliez
DATE
2007
IEEE
134views Hardware» more  DATE 2007»
14 years 2 months ago
Accurate temperature-dependent integrated circuit leakage power estimation is easy
— It has been the conventional assumption that, due to the superlinear dependence of leakage power consumption on temperature, and widely varying on-chip temperature profiles, a...
Yongpan Liu, Robert P. Dick, Li Shang, Huazhong Ya...