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IJCAI
2001
13 years 7 months ago
Knowledge Extraction from Local Function Networks
Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a ten...
Kenneth McGarry, Stefan Wermter, John MacIntyre
NIPS
1994
13 years 7 months ago
Boosting the Performance of RBF Networks with Dynamic Decay Adjustment
Radial Basis Function (RBF) Networks, also known as networks of locally{tuned processing units (see 6]) are well known for their ease of use. Most algorithms used to train these t...
Michael R. Berthold, Jay Diamond
ICIG
2009
IEEE
13 years 4 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
CORR
2010
Springer
184views Education» more  CORR 2010»
13 years 6 months ago
Image Pixel Fusion for Human Face Recognition
In this paper we present a technique for fusion of optical and thermal face images based on image pixel fusion approach. Out of several factors, which affect face recognition perfo...
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita...
PRL
2010
130views more  PRL 2010»
13 years 4 months ago
Automatic configuration of spectral dimensionality reduction methods
In this paper, our main contribution is a framework for the automatic configuration of any spectral dimensionality reduction methods. This is achieved, first, by introducing the m...
Michal Lewandowski, Dimitrios Makris, Jean-Christo...