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93
Voted
ALT
2001
Springer
15 years 8 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
ICDM
2008
IEEE
15 years 6 months ago
2008
IEEE
We present and discuss several spatiotemporal kernels designed to mine real-life and simulated data in support of drought prediction. We implement and empirically validate these k...
ACL
2008
15 years 1 months ago
2008
Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indica...
KDD
2008
ACM
16 years 2 days ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we demonstrate that the support vector tracking (SVT) framework first proposed by Avidan is equivalent to the canonical Lucas-Kanade (LK) algorithm with a weighted E...