1215 search results - page 155 / 243 » Dimensions of machine learning in design |
143
Voted
COLT
2004
Springer
15 years 9 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...
151
Voted
AAAI
2010
15 years 5 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...
119
Voted
FTDB
2008
15 years 3 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...
131
Voted
PAMI
2011
14 years 10 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...
165
Voted
ICASSP
2011
IEEE
14 years 7 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...