Tetsuya Hoya - researchr alias

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Viewing Publication 1 - 23 from 23

2024

Syntactic Networks - Kernel Memory Approach, 2Tetsuya Hoya. Volume 1157 of Studies in, Springer, 2024. [doi]

2023

A Class Incremental Learning Algorithm for a Compact-Sized Probabilistic Neural Network and Its Empirical Comparison with Multilayered Perceptron Neural NetworksShunpei Morita, Hiroto Iguchi, Tetsuya Hoya. acpr 2023: 288-301 [doi]

2022

Reducing the number of centers in a probabilistic neural network via applying the first neighbor means clustering algorithmTetsuya Hoya. array, 14:100161, 2022. [doi]

Analytical Comparison Between the Pattern Classifiers Based upon a Multilayered Perceptron and Probabilistic Neural Network in Parallel ImplementationKatsumi Takahashi, Shunpei Morita, Tetsuya Hoya. icann 2022: 544-555 [doi]

2019

A modified cascaded neuro-computational model applied to recognition of connected spoken Japanese prefecture wordsTetsuya Hoya. alr, 24(4):499-504, 2019. [doi]

2016

On the Parameter Setting of a Network-Growing Algorithm for Radial Basis Kernel NetworksTetsuya Hoya. scisisis 2016: 355-359 [doi]

Connected word recognition using a cascaded neuro-computational modelTetsuya Hoya, Cees van Leeuwen. connection, 28(4):332-345, 2016. [doi]

2010

A cascaded neuro-computational model for spoken word recognitionTetsuya Hoya, Cees van Leeuwen. connection, 22(1):87-101, 2010. [doi]

Reduction of broadband noise in speech signals by multilinear subspace analysisYusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, Andrzej Cichocki. interspeech 2010: 965-968 [doi]

2007

Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory NetworksTetsuya Hoya, Yoshikazu Washizawa. tnn, 18(3):732-744, 2007. [doi]

2006

Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signalsMaria G. Jafari, Wenwu Wang, Jonathon A. Chambers, Tetsuya Hoya, Andrzej Cichocki. tsp, 54(3):1028-1040, 2006. [doi]

2005

Artificial Mind System - Kernel Memory ApproachTetsuya Hoya. Volume 1 of Studies in Computational Intelligence, Springer, 2005.

Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancementTetsuya Hoya, Toshihisa Tanaka, Andrzej Cichocki, Takahiro Murakami, Gen Hori, Jonathon A. Chambers. taslp, 13(3):309-320, 2005. [doi]

Speech Enhancement by Spectral Subtraction Based on Subspace DecompositionTakahiro Murakami, Tetsuya Hoya, Yoshihisa Ishida. ieicet, 88-A(3):690-701, 2005. [doi]

2003

On the capability of accommodating new classes within probabilistic neural networksTetsuya Hoya. tnn, 14(2):450-453, 2003. [doi]

2002

Interpreting Two Psychological Functions by A Hierarchically Structured Neural Memory ModelTetsuya Hoya. dars 2002: 405-414 [doi]

Pitch extraction of speech signals using an eigen-based subspace methodTakahiro Murakami, Munehiro Namba, Tetsuya Hoya, Yoshihisa Ishida. interspeech 2002: 1729-1732 [doi]

Transformation of spectral envelope for voice conversion based on radial basis function networksTomomi Watanabe, Takahiro Murakami, Munehiro Namba, Tetsuya Hoya, Yoshihisa Ishida. interspeech 2002: 285-288 [doi]

2001

Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methodsAndrzej Cichocki, Reda R. Gharieb, Tetsuya Hoya. icassp 2001: 3117-3120 [doi]

Heuristic pattern correction scheme using adaptively trained generalized regression neural networksTetsuya Hoya, Jonathon A. Chambers. tnn, 12(1):91-100, 2001. [doi]

1998

Graph theoretic techniques for pruning data and their applicationsTetsuya Hoya. tsp, 46(9):2574-2579, 1998. [doi]

Steady-state solutions of the extended LMS algorithm for stereophonic acoustic echo cancellation with leakage or signal conditioningTetsuya Hoya, Jonathon A. Chambers, Neil Forsyth, Patrick A. Naylor. eusipco 1998: 1-4 [doi]

Application of the leaky extended LMS (XLMS) algorithm in stereophonic acoustic echo cancellationTetsuya Hoya, Y. Loke, Jonathon A. Chambers, Patrick A. Naylor. sigpro, 64(1):87-91, 1998. [doi]

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