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    ICONIP
    1998
    62views Information Technology» more  ICONIP 1998»
    Time-Domain Processing in the Auditory System
    13 years 5 months ago
    Time-Domain Processing in the Auditory System
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    Alain de Cheveigné
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    ICONIP
    1998
    248views Information Technology» more  ICONIP 1998»
    A Web Oriented Recurrent Neural Network Simulator
    13 years 5 months ago
    A Web Oriented Recurrent Neural Network Simulator
    Download  cedric.cnam.fr
    YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
    Romuald Boné, Michel Crucianu, Pascal Makri...
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    ICONIP
    1998
    49views Information Technology» more  ICONIP 1998»
    Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information
    13 years 5 months ago
    Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information
    Download  isw3.naist.jp
    Ken-ichi Amemori, Shin Ishii
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    ICONIP
    1998
    77views Information Technology» more  ICONIP 1998»
    Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning
    13 years 5 months ago
    Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning
    Download  scfdb.tokyo.jst.go.jp
    Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiros...
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    ICONIP
    2004
    101views Information Technology» more  ICONIP 2004»
    Semi-supervised Kernel-Based Fuzzy C-Means
    13 years 5 months ago
    Semi-supervised Kernel-Based Fuzzy C-Means
    Download  parnec.nuaa.edu.cn
    This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
    Daoqiang Zhang, Keren Tan, Songcan Chen
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    ICONIP
    2004
    130views Information Technology» more  ICONIP 2004»
    Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
    13 years 5 months ago
    Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
    Download  www.cse.cuhk.edu.hk
    Recently, the Support Vector Regression (SVR) has been applied in the financial time series prediction. The financial data are usually highly noisy and contain outliers. Detecting ...
    Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King...
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    ICONIP
    2004
    103views Information Technology» more  ICONIP 2004»
    A Neural Network Model for Trace Conditioning
    13 years 5 months ago
    A Neural Network Model for Trace Conditioning
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    We studied the dynamics of a neural network which have both of recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak trans...
    Tadashi Yamazaki, Shigeru Tanaka
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    ICONIP
    2004
    149views Information Technology» more  ICONIP 2004»
    Content-Based Video Classification Using Support Vector Machines
    13 years 5 months ago
    Content-Based Video Classification Using Support Vector Machines
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    Abstract. In this paper, we investigate the problem of video classification into predefined genre. The approach adopted is based on spatial and temporal descriptors derived from sh...
    Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swa...
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    ICONIP
    2004
    108views Information Technology» more  ICONIP 2004»
    Signature Verification Using Static and Dynamic Features
    13 years 5 months ago
    Signature Verification Using Static and Dynamic Features
    Download  www.csee.wvu.edu
    Abstract. A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of...
    Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel No...
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    ICONIP
    2004
    146views Information Technology» more  ICONIP 2004»
    Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
    13 years 5 months ago
    Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
    Download  people.ee.duke.edu
    The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
    Ranjith Vasireddy, Somenath Biswas
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