IEICE Trans

Keyword : multi-task learning

Multi-Category Image Super-Resolution with Convolutional Neural Network and Multi-Task Learning Kazuya URAZOE Nobutaka KUROKI Yu KATO Shinya OHTANI Tetsuya HIROSE Masahiro NUMA
Publication: Publication Date: 2021/01/01 Vol. E104-D No. 1 ; pp. 183-193 Type of Manuscript: PAPER Category: Image Processing and Video Processing Keyword: super-resolution, resolution enhancement, convolutional neural network, multi-task learning, deep learning,
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Joint Multi-Patch and Multi-Task CNNs for Robust Face Recognition Yanfei LIU Junhua CHEN Yu QIU
Publication: Publication Date: 2020/10/01 Vol. E103-D No. 10 ; pp. 2178-2187 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: CNN, multi-task learning, face representation learning, face recognition,
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A Double Adversarial Network Model for Multi-Domain and Multi-Task Chinese Named Entity Recognition Yun HU Changwen ZHENG
Publication: Publication Date: 2020/07/01 Vol. E103-D No. 7 ; pp. 1744-1752 Type of Manuscript: PAPER Category: Natural Language Processing Keyword: Chinese named entity recognition, multi-domain learning, multi-task learning,
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Simultaneous Estimation of Dish Locations and Calories with Multi-Task Learning Takumi EGE Keiji YANAI
Publication: Publication Date: 2019/07/01 Vol. E102-D No. 7 ; pp. 1240-1246 Type of Manuscript: Special Section PAPER (Special Section on Multimedia for Cooking and Eating Activities) Category: Keyword: food calorie estimation, food dish detection, multi-task learning,
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From Easy to Difficult: A Self-Paced Multi-Task Joint Sparse Representation Method Lihua GUO
Publication: Publication Date: 2018/08/01 Vol. E101-D No. 8 ; pp. 2115-2122 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: multi-task learning, sparse representation, self-paced learning, curriculum learning,
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A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles Masatoshi SUZUKI Koji MATSUDA Satoshi SEKINE Naoaki OKAZAKI Kentaro INUI
Publication: Publication Date: 2018/01/01 Vol. E101-D No. 1 ; pp. 73-81 Type of Manuscript: Special Section PAPER (Special Section on Semantic Web and Linked Data) Category: Keyword: named entity classification, wikipedia, multi-task learning, neural network,
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Multi-Task Learning in Deep Neural Networks for Mandarin-English Code-Mixing Speech Recognition Mengzhe CHEN Jielin PAN Qingwei ZHAO Yonghong YAN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2016/10/01 Vol. E99-D No. 10 ; pp. 2554-2557 Type of Manuscript: Special Section LETTER (Special Section on Recent Advances in Machine Learning for Spoken Language Processing) Category: Acoustic modeling Keyword: multi-task learning, deep neural network, Mandarin-English code mixing, speech recognition,
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DNN-Based Voice Activity Detection with Multi-Task Learning Tae Gyoon KANG Nam Soo KIM
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2016/02/01 Vol. E99-D No. 2 ; pp. 550-553 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: deep neural network, voice activity detection, multi-task learning,
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Multi-Task Object Tracking with Feature Selection Xu CHENG Nijun LI Tongchi ZHOU Zhenyang WU Lin ZHOU
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2015/06/01 Vol. E98-A No. 6 ; pp. 1351-1354 Type of Manuscript: LETTER Category: Image Keyword: visual tracking, sparse representation, multi-task learning, feature selection,
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Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression Jaak SIMM Ildefons MAGRANS DE ABRIL Masashi SUGIYAMA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2014/06/01 Vol. E97-D No. 6 ; pp. 1677-1681 Type of Manuscript: LETTER Category: Pattern Recognition Keyword: machine learning, multi-task learning, tree-based methods, ensemble methods,
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Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification Lihua GUO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2013/09/01 Vol. E96-D No. 9 ; pp. 2177-2181 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: image classification, multi-task learning, sparse representation, manifold learning,
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Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems Jaak SIMM Masashi SUGIYAMA Hirotaka HACHIYA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/10/01 Vol. E95-D No. 10 ; pp. 2426-2437 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: reinforcement learning, multi-task learning, transfer learning, factored state models, Markov decision process,
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