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» On the Learnability of Vector Spaces
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TSP
2008
69views more  TSP 2008»
13 years 8 months ago
A Frame Construction and a Universal Distortion Bound for Sparse Representations
Abstract-- We consider approximations of signals by the elements of a frame in a complex vector space of dimension N and formulate both the noiseless and the noisy sparse represent...
Mehmet Akçakaya, Vahid Tarokh
JUCS
2007
186views more  JUCS 2007»
13 years 8 months ago
An Hybrid Fuzzy Variable Neighborhood Particle Swarm Optimization Algorithm for Solving Quadratic Assignment Problems
: Recently, Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems. A quick review of the literature reveals that re...
Hongbo Liu, Ajith Abraham
WWW
2008
ACM
13 years 8 months ago
KC3 browser: semantic mash-up and link-free browsing
This paper proposes a general framework of for a system with a semantic browsing and visualization interface called Knowledge Communication, Collaboration and Creation Browser (KC...
Michiaki Iwazume, Ken Kaneiwa, Koji Zettsu, Takafu...
WWW
2008
ACM
13 years 8 months ago
A Novelty-based Clustering Method for On-line Documents
In this paper, we describe a document clustering method called noveltybased document clustering. This method clusters documents based on similarity and novelty. The method assigns...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa
CSL
2004
Springer
13 years 8 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales