泉谷知範（いずみたに とものり）

 

日本電信電話株式会社

ＮＴＴ コミュニケーション科学基礎研究所

メディア情報研究部

メディア認識研究グループ

国際会議等

● T. Izumitani and K. Kashino, "A Robust Musical Audio Search Method Based on Diagonal Dynamic Programming Matching of Self-Similarity Matrices," Ninth International Conference on Music Information Retrieval (ISMIR2008), pp. 609-613, 2008. 9.

● T. Izumitani, R. Mukai, and K. Kashino, "A Background Music Detection Method Based on Robust Feature Extraction," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), pp. 13-16, 2008. 4.

● T. Izumitani and K. Kashino, "A Musical Audio Search Method Based on Self-Similarity Features", International Conference on Multimedia & Expo (ICME2007), 2007.7

● 柏野邦夫, 向井良, 大塚和弘, 永野秀尚, 泉谷知範, 木村昭悟, 黒住隆行, 大和淳司, "高速メディア探索", NTT技術ジャーナル, 2007.6

● T. Izumitani and K. Kashino, "Frequency Component Restoration for Music Sounds Using Local Probabilistic Models with Maximum Entropy Learning", ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition (SAPA 2006), pp.12-17, 2006. 9.

● T. Izumitani and K. Kashino, "Frequency Component Restoration for Music Sounds Using a Markov Random Field and Maximum Entropy Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), pp.V257-V260, 2006.5.

● 賀沢秀人, 泉谷知範, 平博順, 前田英作, 磯崎秀樹, "最大マージン原理に基づく多重ラベリング学習", 電子情報通信学会論文誌 D-II, J88-D-II, (11), pp2246-2259, 2005.11.

● H. Kazawa, T. Izumitani, H. Taira, and E. Maeda, "Maximal Margin Labeling for Multi-Topic Text Categorization", Neural Information Processing Systems Conference (NIPS2004).

● T. Izumitani, H. Taira, H. Kazawa and E. Maeda, "Assigning Gene Ontology (GO) Codes to Yeast Genes Using Text-Based Supervised Learning Methods", The Computational Systems Bioinformatics Conference (CSB 2004), pp503-504, 2004.8.

● H. Kazawa, T. Izumitani, F. Tingaud, H. Taira, and E. Maeda, "Gene Category Prediction by Support Vector Multi-labeling", Machines, NIPS 2003 Workshop of New Problems and Methods in Bioinformatics, 2003.12.

● H. Taira, T. Izumitani, H. Isozaki, H. Kazawa, and E. Maeda, "Experiments in TREC 2003 Genomics Track at NTT,", Proc. of Text Retrieval Conference (TREC2003), 2003. 11.

● F. Tingaud, T. Izumitani, H. Taira, E. Maeda, "Classifying Genes into Gene Ontology Categories Using Text-Based Supervised Learning Methods", European Conference on Computational Biology (ECCB2003), 2003. 9.

● M. Oto, T. Izumitani and Y. Kawano, "A Quantum Algorithm for Finding the most Similar Genome Sequence" ERATO Quantum Information Science 2003 (EQIS03), pp.105-106, 2003.

● H. Taira, T. Izumitani, T. Suzuki and E. Maeda, "A New Method for Predicting RNA Secondary Structure", 2nd annual Computational Systems Bioinformatics conference (CSB2003), 2003.

● E. Maeda, I. Takemasa, T. Izumitani, H. Taira, K. Matsubara and M. Monden, "Statistical supervised learning and gene selection algorithms for cancer-class prediction using gene expression data", 11th International Conference on Intelligent Systems for Molecular Biology (ISMB2003), 2003.

● T. Izumitani, F. Tingaud, H. Taira and E. Maeda, "Detection of implicit protein-protein interactions from literature", 11th International Conference on Intelligent Systems for Molecular Biology (ISMB2003), 2003.

● E. Maeda, T. Izumitani, I. Takemasa, K. Matsubara and M. Monden, "Kernel based supervised learning for cancer phenotype prediction and gene selection", 7th Annual International Conference on Research in Computational Molecular Biology (RECOMB2003), 2003.

 

国内学会等

● 賀沢秀人, 泉谷知範, 平博順, 前田英作．最大マージン原理にもとづく多重トピック文書の自動分類, 情報処理学会 自然言語処理研究会(2004-NL-163), 2004.9

● H. Kazawa, T. Izumitani, H. Taira and E. Maeda, "A Large Margin Method for Multi-labeling Problem and Its Application to Document Classification", NTT Workshop on Communication Scene Analysis (CSA2004), 2004.4.

● H. Taira, T. Izumitani, T., Hirao, T., Isozaki, H., and Maeda, "A New Method for Extracting Gene Functions from Bio-medical Documents", NTT Workshop on Communication Scene Analysis (CSA2004), 2004.4.

● T. Izumitani, F. Tingaud, H. Taira and E. Maeda "Inferring Gene Function Using Text-Based Supervised Learning Methods", NTT Workshop on Communication Scene Analysis (CSA2004), 2004.4

● 平博順, 泉谷知範, 平尾努, 磯崎秀樹, 前田英作. 生物医学文献からの遺伝子機能フレーズの抽出、情報処理学会研究報告, 2003-NL-158, pp.133-140, 2003.11.

● 平博順, 平尾努, 泉谷知範, 鈴木穰, 前田英作. 生物医学質問応答システム(bio-QA)の提案. 情処研報 2003(23), pp109-116, 2003.

● 泉谷知範, 前田英作. アクティブ探索法の探索効率と探索精度に関する一考察. 信学技報 PRMU2002-87, pp43-48, 2002.

● 町田基宏, 泉谷知範, 大村弘之, 小黒雅巳, 秋山照雄. 標準シンボルを用いた帳票設計方式の検討. 画像電子学会第25回年次大会予稿集, pp.61-62, 1997.