IEICE Trans

Keyword : supervised learning

Smart Tableware-Based Meal Information Recognition by Comparing Supervised Learning and Multi-Instance Learning Liyang ZHANG Hiroyuki SUZUKI Akio KOYAMA
Publication: Publication Date: 2020/12/01 Vol. E103-D No. 12 ; pp. 2643-2648 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: meal information, smart tableware, Internet of Things, supervised learning, multi-instance learning,
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Adversarial Domain Adaptation Network for Semantic Role Classification Haitong YANG Guangyou ZHOU Tingting HE Maoxi LI
Publication: Publication Date: 2019/12/01 Vol. E102-D No. 12 ; pp. 2587-2594 Type of Manuscript: PAPER Category: Natural Language Processing Keyword: argument classification, domain adaption, adversarial domain adaptation, supervised learning,
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Automatic Lung Nodule Detection in CT Images Using Convolutional Neural Networks Furqan SHAUKAT Kamran JAVED Gulistan RAJA Junaid MIR Muhammad Laiq Ur Rahman SHAHID
Publication: Publication Date: 2019/10/01 Vol. E102-A No. 10 ; pp. 1364-1373 Type of Manuscript: PAPER Category: Image Keyword: CAD, CT, CNN, feature extraction, supervised learning,
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Deep Neural Network Based Monaural Speech Enhancement with Low-Rank Analysis and Speech Present Probability Wenhua SHI Xiongwei ZHANG Xia ZOU Meng SUN Wei HAN Li LI Gang MIN
Publication: Publication Date: 2018/03/01 Vol. E101-A No. 3 ; pp. 585-589 Type of Manuscript: LETTER Category: Noise and Vibration Keyword: speech enhancement, deep neural networks, sparse and low-rank decomposition, supervised learning,
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Scalable Hardware Winner-Take-All Neural Network with DPLL Masaki AZUMA Hiroomi HIKAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/10/01 Vol. E98-D No. 10 ; pp. 1838-1846 Type of Manuscript: PAPER Category: Biocybernetics, Neurocomputing Keyword: neural network, winner-take-all, supervised learning, digital phase-locked loop, hardware architecture,
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Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning Kenshi SAHO Hiroaki HOMMA Takuya SAKAMOTO Toru SATO Kenichi INOUE Takeshi FUKUDA
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2014/06/01 Vol. E97-B No. 6 ; pp. 1223-1233 Type of Manuscript: PAPER Category: Sensing Keyword: human imaging, closely-spaced pedestrians, image separation, UWB Doppler radar, supervised learning, support vector machine (SVM),
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Sparsification and Stability of Simple Dynamic Binary Neural Networks Jungo MORIYASU Toshimichi SAITO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2014/04/01 Vol. E97-A No. 4 ; pp. 985-988 Type of Manuscript: LETTER Category: Nonlinear Problems Keyword: supervised learning, multi-layer perceptron, stability, switching power converters,
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Learning of Simple Dynamic Binary Neural Networks Ryota KOUZUKI Toshimichi SAITO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2013/08/01 Vol. E96-A No. 8 ; pp. 1775-1782 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: neural networks, supervised learning, correlation learning, genetic algorithms, dc-ac inverters,
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Self-Organizing Digital Spike Maps for Learning of Spike-Trains Takashi OGAWA Toshimichi SAITO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2011/12/01 Vol. E94-A No. 12 ; pp. 2845-2852 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: digital spiking neurons, cellular automaton, spike-trains, supervised learning,
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What Can We See behind Sampling Theorems? Hidemitsu OGAWA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2009/03/01 Vol. E92-A No. 3 ; pp. 688-695 Type of Manuscript: INVITED PAPER (Special Section on Latest Advances in Fundamental Theories of Signal Processing) Category: Keyword: sampling theorem, inverse problem, image restoration, computerized tomography, supervised learning,
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An Unsupervised Opinion Mining Approach for Japanese Weblog Reputation Information Using an Improved SO-PMI Algorithm Guangwei WANG Kenji ARAKI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2008/04/01 Vol. E91-D No. 4 ; pp. 1032-1041 Type of Manuscript: PAPER Category: Data Mining Keyword: SO-PMI, opinion mining, Weblog reputation information, sentiment analysis, unsupervised learning, supervised learning,
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Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion Shun GOKITA Masashi SUGIYAMA Keisuke SAKURAI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2007/11/01 Vol. E90-A No. 11 ; pp. 2584-2592 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: supervised learning, generalization error, model selection, regularized subspace information criterion,
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A New Meta-Criterion for Regularized Subspace Information Criterion Yasushi HIDAKA Masashi SUGIYAMA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2007/11/01 Vol. E90-D No. 11 ; pp. 1779-1786 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: supervised learning, generalization capability, model selection, unbiased estimator, regularized subspace information criterion,
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Generalization Error Estimation for Non-linear Learning Methods Masashi SUGIYAMA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2007/07/01 Vol. E90-A No. 7 ; pp. 1496-1499 Type of Manuscript: LETTER Category: Neural Networks and Bioengineering Keyword: supervised learning, generalization capability, model selection, subspace information criterion, non-linear learning,
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Analytic Optimization of Shrinkage Parameters Based on Regularized Subspace Information Criterion Masashi SUGIYAMA Keisuke SAKURAI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2006/08/01 Vol. E89-A No. 8 ; pp. 2216-2225 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: supervised learning, generalization capability, model selection, shrinkage estimator, regularized subspace information criterion,
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Constructing Kernel Functions for Binary Regression Masashi SUGIYAMA Hidemitsu OGAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2006/07/01 Vol. E89-D No. 7 ; pp. 2243-2249 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: supervised learning, regression, kernel methods, kernel functions, Karhunen-Loeve expansion, principal component analysis, binary regression, Gaussian kernel,
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Active Learning with Model Selection -- Simultaneous Optimization of Sample Points and Models for Trigonometric Polynomial Models Masashi SUGIYAMA Hidemitsu OGAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2003/12/01 Vol. E86-D No. 12 ; pp. 2753-2763 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: supervised learning, generalization capability, active learning, model selection, trigonometric polynomial space,
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A GA-Based Learning Algorithm for Binary Neural Networks Masanori SHIMADA Toshimichi SAITO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2002/11/01 Vol. E85-A No. 11 ; pp. 2544-2546 Type of Manuscript: LETTER Category: Nonlinear Problems Keyword: binary neural networks, supervised learning, separating hyperplane, genetic algorithm (GA),
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Active Learning for Optimal Generalization in Trigonometric Polynomial Models Masashi SUGIYAMA Hidemitsu OGAWA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2001/09/01 Vol. E84-A No. 9 ; pp. 2319-2329 Type of Manuscript: PAPER Category: Algorithms and Data Structures Keyword: supervised learning, active learning, generalization capability, trigonometric polynomial space, pseudo orthogonal bases,
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An Approach to Vehicle Recognition Using Supervised Learning Takeo KATO Yoshiki NINOMIYA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2000/07/25 Vol. E83-D No. 7 ; pp. 1475-1479 Type of Manuscript: Special Section PAPER (Special Issue on Machine Vision Applications) Category: Keyword: vehicle recognition, supervised learning, MQDF, quantitative evaluation,
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Realization of Admissibility for Supervised Learning Akira HIRABAYASHI Hidemitsu OGAWA Akiko NAKASHIMA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2000/05/25 Vol. E83-D No. 5 ; pp. 1170-1176 Type of Manuscript: PAPER Category: Biocybernetics, Neurocomputing Keyword: supervised learning, generalization, training error, over-fitting, admissibility,
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Synthesis and Analysis of a Digital Chaos Circuit Generating Multiple-Scroll Strange Attractors Kei EGUCHI Takahiro INOUE Akio TSUNEDA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1999/06/25 Vol. E82-A No. 6 ; pp. 965-972 Type of Manuscript: Special Section PAPER (Special Section of Papers Selected from 1998 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC '98)) Category: Keyword: Chua's circuit, neuro-fuzzy circuits, supervised learning, discrete-time circuits, digital circuit, integrated circuit,
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A Flexible Learning Algorithm for Binary Neural Networks Atsushi YAMAMOTO Toshimichi SAITO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1998/09/25 Vol. E81-A No. 9 ; pp. 1925-1930 Type of Manuscript: PAPER Category: Neural Networks Keyword: binary neural networks, boolean function, supervised learning, multi-layer perceptron, function approximation,
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Design of a Digital Chaos Circuit with Nonlinear Mapping Function Learning Ability Kei EGUCHI Takahiro INOUE Akio TSUNEDA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1998/06/25 Vol. E81-A No. 6 ; pp. 1223-1230 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: chaos circuits, neuro-fuzzy circuits, supervised learning, discrete-time circuits, digital circuits, integrated circuits,
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A Current-Mode Sampled-Data Chaos Circuit with Nonlinear Mapping Function Learning Kei EGUCHI Takahiro INOUE Kyoko TSUKANO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1997/09/25 Vol. E80-A No. 9 ; pp. 1572-1577 Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications) Category: Keyword: chaos circuits, neuro-fuzzy circuits, supervised learning, switched current, discrete-time circuits, analog circuits,
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Radar Signal Clustering and Deinterleaving by a Neural Network Hsuen-Chyun SHYU Chin-Chi CHANG Yueh-Jyun LEE Ching-Hai LEE
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1997/05/25 Vol. E80-A No. 5 ; pp. 903-911 Type of Manuscript: PAPER Category: Neural Networks Keyword: deinterleaving, neural network, supervised learning, unsupervised learning,
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Multiple-Valued Neuro-Algebra Zheng TANG Okihiko ISHIZUKA Hiroki MATSUMOTO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1993/09/25 Vol. E76-A No. 9 ; pp. 1541-1543 Type of Manuscript: LETTER Category: Neural Networks Keyword: multiple-valued algebra, functional completeness, canonical form, supervised learning,
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Forced Formation of a Geometrical Feature Space by a Neural Network Model with Supervised Learning Toshiaki TAKEDA Hiroki MIZOE Koichiro KISHI Takahide MATSUOKA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1993/07/25 Vol. E76-A No. 7 ; pp. 1129-1132 Type of Manuscript: Special Section LETTER (Special Section of Letters Selected from the 1993 IEICE Spring Conference) Category: Keyword: feature space, geometrical pattern, neural network, supervised learning, rotation invariant recognition,
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