566 search results - page 17 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
100
Voted
ICPR
2006
IEEE
16 years 25 days ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
DCC
1998
IEEE
15 years 4 months ago
1998
IEEE
In this paper we address the problem of searching in LZW compressed text directly, and present a new algorithm for finding multiple patterns by simulating the move of the Aho-Cora...
EACL
2006
ACL Anthology
15 years 1 months ago
2006
ACL Anthology
This paper deals with the problem of recognizing and extracting acronymdefinition pairs in Swedish medical texts. This project applies a rule-based method to solve the acronym rec...
MCS
2008
Springer
14 years 11 months ago
2008
Springer
Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...