1215 search results - page 155 / 243 » Dimensions of machine learning in design |
COLT
2004
Springer
14 years 2 months ago
2004
Springer
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
AAAI
2010
13 years 10 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
FTDB
2008
13 years 9 months ago
2008
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
PAMI
2011
13 years 4 months ago
2011
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...