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ESANN
2008
15 years 8 months ago
Comparison of sparse least squares support vector regressors trained in primal and dual
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
Shigeo Abe
NIPS
2000
15 years 8 months ago
Text Classification using String Kernels
We propose a novel approach for categorizing text documents based on the use of a special kernel. The kernel is an inner product in the feature space generated by all subsequences...
Huma Lodhi, John Shawe-Taylor, Nello Cristianini, ...
AAAI
2011
14 years 7 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
MICCAI
2004
Springer
16 years 8 months ago
Profile Scale-Spaces for Multiscale Image Match
Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at whic...
Sean Ho, Guido Gerig
TASLP
2008
176views more  TASLP 2008»
15 years 7 months ago
Analysis of Minimum Distances in High-Dimensional Musical Spaces
Abstract--We propose an automatic method for measuring content-based music similarity, enhancing the current generation of music search engines and recommender systems. Many previo...
Michael Casey, Christophe Rhodes, Malcolm Slaney