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MLDM
2010
Springer
12 years 11 months ago
Fast Algorithms for Constant Approximation k-Means Clustering
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran
ICIP
2009
IEEE
13 years 2 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...
CORR
2011
Springer
154views Education» more  CORR 2011»
12 years 8 months ago
A Fuzzy View on k-Means Based Signal Quantization with Application in Iris Segmentation
— This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters ...
Nicolaie Popescu-Bodorin
ICASSP
2011
IEEE
12 years 8 months ago
An optimization algorithm of independent mean and variance parameter tying structures for HMM-based speech synthesis
This paper proposes a technique for constructing independent parameter tying structures of mean and variance in HMMbased speech synthesis. Conventionally, mean and variance parame...
Shinji Takaki, Keiichiro Oura, Yoshihiko Nankaku, ...
NAACL
2010
13 years 2 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney