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» Informational Energy Kernel for LVQ
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ICANN
2005
Springer
15 years 3 months ago
Informational Energy Kernel for LVQ
We describe a kernel method which uses the maximization of Onicescu’s informational energy as a criteria for computing the relevances of input features. This adaptive relevance d...
Angel Cataron, Razvan Andonie
ESANN
2004
14 years 11 months ago
An informational energy LVQ approach for feature ranking
Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a ...
Razvan Andonie, Angel Cataron
94
Voted
ICIP
2010
IEEE
14 years 7 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
TIP
2008
144views more  TIP 2008»
14 years 9 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
ISVC
2007
Springer
15 years 3 months ago
Lip Contour Segmentation Using Kernel Methods and Level Sets
This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise l...
A. Khan, William J. Christmas, Josef Kittler