Y. Matsuyama

Publications148
h-index15
Citations1,213
Highly Influential Citations31
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Distortion measures for speech processing
Several properties, interrelations, and interpretations are developed for various speech spectral distortion measures. The principle results are 1) the development of notions of relative strength and… Expand
  • 396
  • 14
Database retrieval for similar images using ICA and PCA bases
TLDR
Similar-image retrieval systems using ICA and PCA bases using weighted inner products of similar bases . Expand
  • 43
  • 3
Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids
TLDR
Human-humanoid symbiosis by using brain signals is presented for the operation of a humanoid which is a representative of in silico information processing appliances. Expand
  • 5
  • 2
Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals
TLDR
Methods to integrate multimodal beliefs by Bayesian Networks (BNs) comprising Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) are presented. Expand
  • 4
  • 2
The alpha-EM algorithm: surrogate likelihood maximization using alpha-logarithmic information measures
  • Y. Matsuyama
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • 1 March 2003
TLDR
A new likelihood maximization algorithm called the /Spl alpha/-EM algorithm (/spl alpha/-expectation-maximization algorithm) is presented. Expand
  • 46
  • 1
Self-organizing neural networks and various euclidean traveling salesman problems
  • Y. Matsuyama
  • Mathematics, Computer Science
  • Systems and Computers in Japan
  • 1992
TLDR
We use a sequential update which looks at the position vector of each city one at a time as the training method for a neural network arranged as a closed loop. Expand
  • 21
  • 1
Self-organization via competition, cooperation and categorization applied to extended vehicle routing problems
  • Y. Matsuyama
  • Computer Science
  • IJCNN-91-Seattle International Joint Conference…
  • 8 July 1991
TLDR
Competitive learning in neural networks involving cooperation and categorization is discussed. Expand
  • 31
  • 1
Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs
  • Y. Matsuyama
  • Mathematics, Computer Science
  • The International Joint Conference on Neural…
  • 3 October 2011
TLDR
Fast estimation algorithms for Hidden Markov models (HMMs) for given data are presented by using methods of the iteration index shift and likelihood ratio expansion. Expand
  • 21
  • 1
Similar-image retrieval systems using ICA and PCA bases
TLDR
In this paper, similarity measures which can absorb such indeterminacy are presented. Expand
  • 4
  • 1
ICA photographic encoding gear: image bases towards IPEG
Independent component analysis (ICA) is applied to image coding. There, new design methods for ICA bases are presented. The new feature of this learning algorithm includes the weak guidance, or… Expand
  • 5
  • 1