108 search results - page 11 / 22 » Greedy Algorithm for a Training Set Reduction in the Kernel ... |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
NIPS
2007
13 years 9 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
CSL
2007
Springer
13 years 7 months ago
2007
Springer
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
CP
2009
Springer
14 years 8 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...