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ICANN
2001
Springer
15 years 5 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
107
Voted
NIPS
2008
15 years 2 months ago
Theory of matching pursuit
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
Zakria Hussain, John Shawe-Taylor
MVA
2007
149views Computer Vision» more  MVA 2007»
15 years 2 months ago
Shift-Variant Restoration of Defocused Images Using Shift-Invariant Wavelet Transform
In this paper, we restore a blurred image caused by defocus of a lens using the shift-invariant Wavelet transform realized by the RI-Spline Wavelets. In a defocus blurred image, t...
Hisanaga Fujiwara, Zhong Zhang, Tetsuo Miyake, Aki...
114
Voted
EACL
2006
ACL Anthology
15 years 2 months ago
Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
Claudio Giuliano, Alberto Lavelli, Lorenza Romano
92
Voted
NIPS
2004
15 years 2 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus