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» Ranking with Kernels in Fourier space
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ICIP
1997
IEEE
16 years 1 months ago
SVD and log-log frequency sampling with Gabor kernels for invariant pictorial recognition
This paper presents an e cient scheme for a neinvariant object recognition. A ne invariance is obtained by a representation which is based on a new sampling con guration in the fr...
Zhiqian Wang, Jezekiel Ben-Arie
111
Voted
IJON
2007
134views more  IJON 2007»
14 years 11 months ago
Analysis of SVM regression bounds for variable ranking
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
Alain Rakotomamonjy
96
Voted
MICCAI
2005
Springer
16 years 16 days ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
107
Voted
NIPS
2004
15 years 1 months ago
Algebraic Set Kernels with Application to Inference Over Local Image Representations
This paper presents a general family of algebraic positive definite similarity functions over spaces of matrices with varying column rank. The columns can represent local regions ...
Amnon Shashua, Tamir Hazan
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 6 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...