IEICE Trans

Keyword : deep learning

Fundamental Trial on DOA Estimation with Deep Learning Yuya KASE Toshihiko NISHIMURA Takeo OHGANE Yasutaka OGAWA Daisuke KITAYAMA Yoshihisa KISHIYAMA
Publication: Publication Date: 2020/10/01 Vol. E103-B No. 10 ; pp. 1127-1135 Type of Manuscript: PAPER Category: Antennas and Propagation Keyword: DOA estimation, deep learning, machine learning,
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Sentence-Embedding and Similarity via Hybrid Bidirectional-LSTM and CNN Utilizing Weighted-Pooling Attention Degen HUANG Anil AHMED Syed Yasser ARAFAT Khawaja Iftekhar RASHID Qasim ABBAS Fuji REN
Publication: Publication Date: 2020/10/01 Vol. E103-D No. 10 ; pp. 2216-2227 Type of Manuscript: PAPER Category: Natural Language Processing Keyword: sentence similarity, sentence embedding, deep learning, long short-term memory, convolutional neural network,
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Efficient Salient Object Detection Model with Dilated Convolutional Networks Fei GUO Yuan YANG Yong GAO Ningmei YU
Publication: Publication Date: 2020/10/01 Vol. E103-D No. 10 ; pp. 2199-2207 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: saliency detection model, deep learning, dilated convolution,
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Weight Compression MAC Accelerator for Effective Inference of Deep Learning Asuka MAKI Daisuke MIYASHITA Shinichi SASAKI Kengo NAKATA Fumihiko TACHIBANA Tomoya SUZUKI Jun DEGUCHI Ryuichi FUJIMOTO
Publication: Publication Date: 2020/10/01 Vol. E103-C No. 10 ; pp. 514-523 Type of Manuscript: Special Section PAPER (Special Section on Analog Circuits and Their Application Technologies) Category: Integrated Electronics Keyword: deep learning, convolutional neural network, quantization, variable bit width, post-training, inference, accelerator, processor, FPGA,
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Intrusion Detection System Using Deep Learning and Its Application to Wi-Fi Network Kwangjo KIM
Publication: Publication Date: 2020/07/01 Vol. E103-D No. 7 ; pp. 1433-1447 Type of Manuscript: INVITED PAPER (Special Section on Information and Communication System Security) Category: Keyword: intrusion detection system, deep learning, feature learning, anomaly detection, deep-feature extraction and selection,
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Improving Faster R-CNN Framework for Multiscale Chinese Character Detection and Localization Minseong KIM Hyun-Chul CHOI
Publication: Publication Date: 2020/07/01 Vol. E103-D No. 7 ; pp. 1777-1781 Type of Manuscript: LETTER Category: Pattern Recognition Keyword: Chinese character localization, multiscale object detection, deep learning,
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A Two-Stage Phase-Aware Approach for Monaural Multi-Talker Speech Separation Lu YIN Junfeng LI Yonghong YAN Masato AKAGI
Publication: Publication Date: 2020/07/01 Vol. E103-D No. 7 ; pp. 1732-1743 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: speech separation, phase recovery, amplitude estimation, deep learning, mask estimation,
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Improvement of Luminance Isotropy for Convolutional Neural Networks-Based Image Super-Resolution Kazuya URAZOE Nobutaka KUROKI Yu KATO Shinya OHTANI Tetsuya HIROSE Masahiro NUMA
Publication: Publication Date: 2020/07/01 Vol. E103-A No. 7 ; pp. 955-958 Type of Manuscript: LETTER Category: Image Keyword: super-resolution, resolution enhancement, convolutional neural network, isotropy, deep learning,
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Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition Kazuki KAWAMURA Takashi MATSUBARA Kuniaki UEHARA
Publication: Publication Date: 2020/06/01 Vol. E103-D No. 6 ; pp. 1217-1225 Type of Manuscript: Special Section PAPER (Special Section on Machine Vision and its Applications) Category: Keyword: deep learning, skeleton, action recognition, state-space models,
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Orthogonal Gradient Penalty for Fast Training of Wasserstein GAN Based Multi-Task Autoencoder toward Robust Speech Recognition Chao-Yuan KAO Sangwook PARK Alzahra BADI David K. HAN Hanseok KO
Publication: Publication Date: 2020/05/01 Vol. E103-D No. 5 ; pp. 1195-1198 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: speech enhancement, generative adversarial networks, deep learning, robust speech recognition,
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Vehicle Key Information Detection Algorithm Based on Improved SSD Ende WANG Yong LI Yuebin WANG Peng WANG Jinlei JIAO Xiaosheng YU
Publication: Publication Date: 2020/05/01 Vol. E103-A No. 5 ; pp. 769-779 Type of Manuscript: PAPER Category: Intelligent Transport System Keyword: vehicle information detection, deep learning, convolutional neural network, target detection,
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Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image Minkyoung CHO Jik-Soo KIM Jongho SHIN Incheol SHIN
Publication: Publication Date: 2020/04/01 Vol. E103-D No. 4 ; pp. 896-900 Type of Manuscript: LETTER Category: Artificial Intelligence, Data Mining Keyword: malware detection, deep learning, binary image,
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Software Development Effort Estimation from Unstructured Software Project Description by Sequence Models Tachanun KANGWANTRAKOOL Kobkrit VIRIYAYUDHAKORN Thanaruk THEERAMUNKONG
Publication: Publication Date: 2020/04/01 Vol. E103-D No. 4 ; pp. 739-747 Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support) Category: Keyword: software effort estimation, regression, deep learning, sequence model, recurrent neural network (RNN), gated recurrent units (GRU), long short-term memory network (LSTM),
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Evaluating Deep Learning for Image Classification in Adversarial Environment Ye PENG Wentao ZHAO Wei CAI Jinshu SU Biao HAN Qiang LIU
Publication: Publication Date: 2020/04/01 Vol. E103-D No. 4 ; pp. 825-837 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: adversarial environment, deep learning, evaluating metrics, image classification, security evaluation,
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Edge-SiamNet and Edge-TripleNet: New Deep Learning Models for Handwritten Numeral Recognition Weiwei JIANG Le ZHANG
Publication: Publication Date: 2020/03/01 Vol. E103-D No. 3 ; pp. 720-723 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: deep learning, handwritten numeral recognition, convolutional neural network,
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Broadband Direction of Arrival Estimation Based on Convolutional Neural Network Wenli ZHU Min ZHANG Chenxi WU Lingqing ZENG
Publication: Publication Date: 2020/03/01 Vol. E103-B No. 3 ; pp. 148-154 Type of Manuscript: PAPER Category: Fundamental Theories for Communications Keyword: deep learning, direction of arrival, convolutional neural network, uniform circle array,
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Real-Time Generic Object Tracking via Recurrent Regression Network Rui CHEN Ying TONG Ruiyu LIANG
Publication: Publication Date: 2020/03/01 Vol. E103-D No. 3 ; pp. 602-611 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: object tracking, deep learning, convolutional neural network, features comparison, recurrent neural network,
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Combining CNN and Broad Learning for Music Classification Huan TANG Ning CHEN
Publication: Publication Date: 2020/03/01 Vol. E103-D No. 3 ; pp. 695-701 Type of Manuscript: PAPER Category: Music Information Processing Keyword: deep learning, broad learning, random convolutional neural network (RCNN), music classification,
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Fast Inference of Binarized Convolutional Neural Networks Exploiting Max Pooling with Modified Block Structure Ji-Hoon SHIN Tae-Hwan KIM
Publication: Publication Date: 2020/03/01 Vol. E103-D No. 3 ; pp. 706-710 Type of Manuscript: LETTER Category: Software System Keyword: binarized neural networks, embedded systems, convolutional neural networks, inference, deep learning,
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A Non-Intrusive Speech Intelligibility Estimation Method Based on Deep Learning Using Autoencoder Features Yoonhee KIM Deokgyu YUN Hannah LEE Seung Ho CHOI
Publication: Publication Date: 2020/03/01 Vol. E103-D No. 3 ; pp. 714-715 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: autoencoder, bottleneck feature, STOI, deep learning, long short-term memory (LSTM),
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Simple Black-Box Adversarial Examples Generation with Very Few Queries Yuya SENZAKI Satsuya OHATA Kanta MATSUURA
Publication: Publication Date: 2020/02/01 Vol. E103-D No. 2 ; pp. 212-221 Type of Manuscript: Special Section PAPER (Special Section on Security, Privacy, Anonymity and Trust in Cyberspace Computing and Communications) Category: Reliability and Security of Computer Systems Keyword: adversarial examples, black-box attack, deep learning,
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Recurrent Neural Network Compression Based on Low-Rank Tensor Representation Andros TJANDRA Sakriani SAKTI Satoshi NAKAMURA
Publication: Publication Date: 2020/02/01 Vol. E103-D No. 2 ; pp. 435-449 Type of Manuscript: PAPER Category: Music Information Processing Keyword: recurrent neural network, model compression, tensor decomposition, deep learning,
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On the Complementary Role of DNN Multi-Level Enhancement for Noisy Robust Speaker Recognition in an I-Vector Framework Xingyu ZHANG Xia ZOU Meng SUN Penglong WU Yimin WANG Jun HE
Publication: Publication Date: 2020/01/01 Vol. E103-A No. 1 ; pp. 356-360 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: multi-level enhancement, i-vector, robust speaker recognition, deep learning, weighted Gaussian mixture models,
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CsiNet-Plus Model with Truncation and Noise on CSI Feedback Feng LIU Xuecheng HE Conggai LI Yanli XU
Publication: Publication Date: 2020/01/01 Vol. E103-A No. 1 ; pp. 376-381 Type of Manuscript: LETTER Category: Communication Theory and Signals Keyword: massive MIMO, CSI feedback, truncation, channel noise, deep learning,
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Attentive Sequences Recurrent Network for Social Relation Recognition from Video Jinna LV Bin WU Yunlei ZHANG Yunpeng XIAO
Publication: Publication Date: 2019/12/01 Vol. E102-D No. 12 ; pp. 2568-2576 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: social relation recognition, video analysis, deep learning, LSTM, attention mechanism,
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Channel and Frequency Attention Module for Diverse Animal Sound Classification Kyungdeuk KO Jaihyun PARK David K. HAN Hanseok KO
Publication: Publication Date: 2019/12/01 Vol. E102-D No. 12 ; pp. 2615-2618 Type of Manuscript: LETTER Category: Artificial Intelligence, Data Mining Keyword: artificial intelligence, deep learning, acoustic signal, self-attention, CNN,
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Tweet Stance Detection Using Multi-Kernel Convolution and Attentive LSTM Variants Umme Aymun SIDDIQUA Abu Nowshed CHY Masaki AONO
Publication: Publication Date: 2019/12/01 Vol. E102-D No. 12 ; pp. 2493-2503 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: stance detection, deep learning, neural network model, attention mechanism, nested LSTMs (NLSTMs), densely connected bidirectional LSTM (Bi-LSTM), multi-kernel convolution,
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Attention-Guided Spatial Transformer Networks for Fine-Grained Visual Recognition Dichao LIU Yu WANG Jien KATO
Publication: Publication Date: 2019/12/01 Vol. E102-D No. 12 ; pp. 2577-2586 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: recognition, attention, fine-grained, deep learning,
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Detecting Surface Defects of Wind Tubine Blades Using an Alexnet Deep Learning Algorithm Xiao-Yi ZHAO Chao-Yi DONG Peng ZHOU Mei-Jia ZHU Jing-Wen REN Xiao-Yan CHEN
Publication: Publication Date: 2019/12/01 Vol. E102-A No. 12 ; pp. 1817-1824 Type of Manuscript: Special Section PAPER (Special Section on Smart Multimedia & Communication Systems) Category: Machine Learning Keyword: deep learning, Alexnet, 4-rotor UAV, BP neural network, wind power generator blade, damage diagnosis,
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TFIDF-FL: Localizing Faults Using Term Frequency-Inverse Document Frequency and Deep Learning Zhuo ZHANG Yan LEI Jianjun XU Xiaoguang MAO Xi CHANG
Publication: Publication Date: 2019/09/01 Vol. E102-D No. 9 ; pp. 1860-1864 Type of Manuscript: LETTER Category: Software Engineering Keyword: debugging, fault localization, term frequency, inverse document frequency, deep learning,
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Image Denoiser Using Convolutional Neural Network with Deconvolution and Modified Residual Network Soo-Yeon SHIN Dong-Myung KIM Jae-Won SUH
Publication: Publication Date: 2019/08/01 Vol. E102-D No. 8 ; pp. 1598-1601 Type of Manuscript: LETTER Category: Image Processing and Video Processing Keyword: image, denoise, deep learning, CNN,
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Webly-Supervised Food Detection with Foodness Proposal Wataru SHIMODA Keiji YANAI
Publication: Publication Date: 2019/07/01 Vol. E102-D No. 7 ; pp. 1230-1239 Type of Manuscript: Special Section PAPER (Special Section on Multimedia for Cooking and Eating Activities) Category: Keyword: food segmentation, convolutional neural network, deep learning, UEC-FOOD100,
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GUINNESS: A GUI Based Binarized Deep Neural Network Framework for Software Programmers Hiroki NAKAHARA Haruyoshi YONEKAWA Tomoya FUJII Masayuki SHIMODA Shimpei SATO
Publication: Publication Date: 2019/05/01 Vol. E102-D No. 5 ; pp. 1003-1011 Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems) Category: Design Tools Keyword: machine learning, deep learning, pruning, FPGA,
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RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural Networks Cheng LUO Wei CAO Lingli WANG Philip H. W. LEONG
Publication: Publication Date: 2019/05/01 Vol. E102-D No. 5 ; pp. 1037-1045 Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems) Category: Applications Keyword: deep learning, residual networks, software-hardware co-design, batch-normalization layers, FPGA,
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A Highly Accurate Transportation Mode Recognition Using Mobile Communication Quality Wataru KAWAKAMI Kenji KANAI Bo WEI Jiro KATTO
Publication: Publication Date: 2019/04/01 Vol. E102-B No. 4 ; pp. 741-750 Type of Manuscript: Special Section PAPER (Special Section on Sensing, Wireless Networking, Data Collection, Analysis and Processing Technologies for Ambient Intelligence with Internet of Things) Category: Keyword: mobile sensing, transportation mode recognition, communication quality, machine learning, deep learning, quality of service,
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Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection Jingxia CHEN Zijing MAO Ru ZHENG Yufei HUANG Lifeng HE
Publication: Publication Date: 2019/04/01 Vol. E102-D No. 4 ; pp. 836-844 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: RSVP, EEG, feature selection, deep learning, CNN,
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Rectifying Transformation Networks for Transformation-Invariant Representations with Power Law Chunxiao FAN Yang LI Lei TIAN Yong LI
Publication: Publication Date: 2019/03/01 Vol. E102-D No. 3 ; pp. 675-679 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: convolutional neural network, deep learning, image representation, transformation error,
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Faster-ADNet for Visual Tracking Tiansa ZHANG Chunlei HUO Zhiqiang ZHOU Bo WANG
Publication: Publication Date: 2019/03/01 Vol. E102-D No. 3 ; pp. 684-687 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: visual tracking, deep learning, status re-identification,
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Personal Data Retrieval and Disambiguation in Web Person Search Yuliang WEI Guodong XIN Wei WANG Fang LV Bailing WANG
Publication: Publication Date: 2019/02/01 Vol. E102-D No. 2 ; pp. 392-395 Type of Manuscript: LETTER Category: Data Engineering, Web Information Systems Keyword: sequential block model, deep learning, web extraction, name disambiguation,
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Security Consideration for Deep Learning-Based Image Forensics Wei ZHAO Pengpeng YANG Rongrong NI Yao ZHAO Haorui WU
Publication: Publication Date: 2018/12/01 Vol. E101-D No. 12 ; pp. 3263-3266 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: image forensics, security, deep learning, adversarial images,
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A Machine Learning-Based Approach for Selecting SpMV Kernels and Matrix Storage Formats Hang CUI Shoichi HIRASAWA Hiroaki KOBAYASHI Hiroyuki TAKIZAWA
Publication: Publication Date: 2018/09/01 Vol. E101-D No. 9 ; pp. 2307-2314 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: SpMV, code selection, deep learning, convolutional neural network,
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Transform Electric Power Curve into Dynamometer Diagram Image Using Deep Recurrent Neural Network Junfeng SHI Wenming MA Peng SONG
Publication: Publication Date: 2018/08/01 Vol. E101-D No. 8 ; pp. 2154-2158 Type of Manuscript: LETTER Category: Artificial Intelligence, Data Mining Keyword: deep learning, embedding, recurrent neural network, computer vision,
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Performance Evaluation of Pipeline-Based Processing for the Caffe Deep Learning Framework Ayae ICHINOSE Atsuko TAKEFUSA Hidemoto NAKADA Masato OGUCHI
Publication: Publication Date: 2018/04/01 Vol. E101-D No. 4 ; pp. 1042-1052 Type of Manuscript: Special Section PAPER (Special Section on Data Engineering and Information Management) Category: Keyword: deep learning, machine learning, distributed processing, cloud computing, life-log analysis,
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Sequential Convolutional Residual Network for Image Recognition Wonjun HWANG
Publication: Publication Date: 2018/04/01 Vol. E101-D No. 4 ; pp. 1213-1216 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: deep learning, convolutional neural network, residual network,
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Stock Price Prediction by Deep Neural Generative Model of News Articles Takashi MATSUBARA Ryo AKITA Kuniaki UEHARA
Publication: Publication Date: 2018/04/01 Vol. E101-D No. 4 ; pp. 901-908 Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support) Category: Datamining Technologies Keyword: stock price prediction, news articles, deep learning, generative model,
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A Threshold Neuron Pruning for a Binarized Deep Neural Network on an FPGA Tomoya FUJII Shimpei SATO Hiroki NAKAHARA
Publication: Publication Date: 2018/02/01 Vol. E101-D No. 2 ; pp. 376-386 Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems) Category: Emerging Applications Keyword: machine learning, deep learning, pruning, FPGA,
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Deep Relational Model: A Joint Probabilistic Model with a Hierarchical Structure for Bidirectional Estimation of Image and Labels Toru NAKASHIKA
Publication: Publication Date: 2018/02/01 Vol. E101-D No. 2 ; pp. 428-436 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: image classification, image generation, deep learning, generative model, Boltzmann distribution,
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Deep Learning-Based Fault Localization with Contextual Information Zhuo ZHANG Yan LEI Qingping TAN Xiaoguang MAO Ping ZENG Xi CHANG
Publication: Publication Date: 2017/12/01 Vol. E100-D No. 12 ; pp. 3027-3031 Type of Manuscript: LETTER Category: Software Engineering Keyword: fault localization, dynamic slice, deep learning, contextual information,
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Multi-Channel Convolutional Neural Networks for Image Super-Resolution Shinya OHTANI Yu KATO Nobutaka KUROKI Tetsuya HIROSE Masahiro NUMA
Publication: Publication Date: 2017/02/01 Vol. E100-A No. 2 ; pp. 572-580 Type of Manuscript: Special Section PAPER (Special Section on Image Media Quality) Category: IMAGE PROCESSING Keyword: super-resolution, resolution enhancement, convolutional neural networks, CNN, deep learning,
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Deep Nonlinear Metric Learning for Speaker Verification in the I-Vector Space Yong FENG Qingyu XIONG Weiren SHI
Publication: Publication Date: 2017/01/01 Vol. E100-D No. 1 ; pp. 215-219 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: speaker verification, restricted Boltzmann machine, nonlinear metric, deep learning,
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Combining Fisher Criterion and Deep Learning for Patterned Fabric Defect Inspection Yundong LI Jiyue ZHANG Yubing LIN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2016/11/01 Vol. E99-D No. 11 ; pp. 2840-2842 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: deep learning, fabric defect inspection, stacked autoencoders, Fisher criterion,
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Food Image Recognition Using Covariance of Convolutional Layer Feature Maps Atsushi TATSUMA Masaki AONO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2016/06/01 Vol. E99-D No. 6 ; pp. 1711-1715 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: food image recognition, convolutional neural networks, covariance descriptor, pattern recognition, deep learning,
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k-Degree Layer-Wise Network for Geo-Distributed Computing between Cloud and IoT Yiqiang SHENG Jinlin WANG Haojiang DENG Chaopeng LI
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2016/02/01 Vol. E99-B No. 2 ; pp. 307-314 Type of Manuscript: Special Section PAPER (Special Section on Management for the Era of Internet of Things and Big Data) Category: Keyword: big data, internet of things, geo-distributed computing, deep learning, cloud computing,
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A Cascade System of Dynamic Binary Neural Networks and Learning of Periodic Orbit Jungo MORIYASU Toshimichi SAITO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/09/01 Vol. E98-D No. 9 ; pp. 1622-1629 Type of Manuscript: Special Section PAPER (Special Section on Optimization and Learning Algorithms of Small Embedded Devices and Related Software/Hardware Implementation) Category: Keyword: binary neural networks, deep learning, switching circuits,
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Learning Deep Dictionary for Hyperspectral Image Denoising Leigang HUO Xiangchu FENG Chunlei HUO Chunhong PAN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/07/01 Vol. E98-D No. 7 ; pp. 1401-1404 Type of Manuscript: LETTER Category: Pattern Recognition Keyword: dictionary learning, deep learning, hyperspectral image denoising, fine-tuning,
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Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines Toru NAKASHIKA Tetsuya TAKIGUCHI Yasuo ARIKI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2014/06/01 Vol. E97-D No. 6 ; pp. 1403-1410 Type of Manuscript: Special Section PAPER (Special Section on Advances in Modeling for Real-world Speech Information Processing and its Application) Category: Voice Conversion and Speech Enhancement Keyword: voice conversion, restricted Boltzmann machine, deep learning, speaker individuality,
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Hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition Yasuhisa FUJII Kazumasa YAMAMOTO Seiichi NAKAGAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/08/01 Vol. E95-D No. 8 ; pp. 2094-2104 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: hidden conditional neural fields, hidden conditional random fields, hidden Markov model, speech recognition, deep learning,
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