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    ICONIP
    2004
    101views Information Technology» more  ICONIP 2004»
    Semi-supervised Kernel-Based Fuzzy C-Means
    13 years 6 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 6 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 6 months ago
    A Neural Network Model for Trace Conditioning
    Download  capsule.brain.riken.jp
    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 6 months ago
    Content-Based Video Classification Using Support Vector Machines
    Download  www.columbia.edu
    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 6 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 6 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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    ICONIP
    2004
    101views Information Technology» more  ICONIP 2004»
    TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
    13 years 6 months ago
    TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
    Download  www.aut.ac.nz
    This paper introduces a novel RBF model
    Qun Song, Nikola K. Kasabov
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    ICONIP
    2004
    130views Information Technology» more  ICONIP 2004»
    Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs
    13 years 6 months ago
    Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs
    Download  ftp.esat.kuleuven.ac.be
    This paper contrasts three related regularization schemes for kernel machines using a least squares criterion, namely Tikhonov and Ivanov regularization and Morozov's discrepa...
    Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
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    ICONIP
    2004
    141views Information Technology» more  ICONIP 2004»
    Non-linear Dimensionality Reduction by Locally Linear Isomaps
    13 years 6 months ago
    Non-linear Dimensionality Reduction by Locally Linear Isomaps
    Download  ai.stanford.edu
    Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
    Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
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    ICONIP
    2004
    129views Information Technology» more  ICONIP 2004»
    Applications of Independent Component Analysis
    13 years 6 months ago
    Applications of Independent Component Analysis
    Download  www.cis.hut.fi
    Erkki Oja
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