Takeshi Shinohara

75 papers A* 5A 3B 18C 11Journal 15Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Double Filtering Using Short and Long Quantized Projections. SISAP Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2025	J	`jnl`	Hilbert Forest in the SISAP 2025 Indexing Challenge. CoRR Yasunobu Imamura, Takeshi Shinohara, Naoya Higuchi, Kouichi Hirata, Tetsuji Kuboyama
2024	C	`conf`	Fast Filtering by Conjunctive Enumeration of Sketches for Nearest Neighbor Search. ICPRAM Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2024	C	`conf`	Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance. ICPRAM Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2022	C	`conf`	Nearest-neighbor Search from Large Datasets using Narrow Sketches. ICPRAM Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2020	B	`conf`	Pivot Selection for Narrow Sketches by Optimization Algorithms. SISAP Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2019	C	`conf`	Annealing by Increasing Resampling in the Unified View of Simulated Annealing. ICPRAM Yasunobu Imamura, Naoya Higuchi, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2019	—	`conf`	Annealing by Increasing Resampling. ICPRAM (Revised Selected Papers) Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2019	—	`conf`	Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching. Australasian Conference on Artificial Intelligence Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara
2019	C	`conf`	Fast Nearest Neighbor Search with Narrow 16-bit Sketch. ICPRAM Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara
2018	C	`conf`	Nearest Neighbor Search using Sketches as Quantized Images of Dimension Reduction. ICPRAM Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara
2017	—	`conf`	Pivot Selection for Dimension Reduction using Annealing by Increasing Resampling. LWDA Yasunobu Imamura, Naoya Higuchi, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara
2016	B	`conf`	Fast Hilbert Sort Algorithm Without Using Hilbert Indices. SISAP Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2015	—	`conf`	High Dimensional Similarity Search with Bundled Query Processing on Hilbert R-Tree. ICPRAM (1) Yohei Nasu, Naoki Kishikawa, Kei Tashima, Shin Kodama, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2014	—	`conf`	Central Point Selection in Dimension Reduction Projection Simple-Map with Binary Quantization. JSAI-isAI Workshops Quming Jin, Masaya Nakashima, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
2010	—	`conf`	Accelerating Video Identification by Skipping Queries with a Compact Metric Cache. ICCSA (4) Takaaki Aoki, Daisuke Ninomiya, Arnoldo José Müller Molina, Takeshi Shinohara
2010	—	`conf`	On the Configuration of the Similarity Search Data Structure D-Index for High Dimensional Objects. ICCSA (3) Arnoldo José Müller Molina, Takeshi Shinohara
2009	B	`conf`	Efficient Similarity Search by Reducing I/O with Compressed Sketches. SISAP Arnoldo José Müller Molina, Takeshi Shinohara
2009	—	`conf`	Towards Low Carbon Similarity Search with Compressed Sketches. VLDB PhD Workshop Arnoldo José Müller Molina, Takeshi Shinohara
2008	—	`conf`	A Tree Distance Function Based on Multi-sets. PAKDD Workshops Arnoldo José Müller Molina, Kouichi Hirata, Takeshi Shinohara
2008	J	`jnl`	Developments from enquiries into the learnability of the pattern languages from positive data. Theor. Comput. Sci. Yen Kaow Ng, Takeshi Shinohara
2008	J	`jnl`	Foreword. Theor. Comput. Sci. John Case, Takeshi Shinohara, Thomas Zeugmann, Sandra Zilles
2007	C	`conf`	Fast Approximate Matching of Programs for Protecting Libre/Open Source Software by Using Spatial Indexes. SCAM Arnoldo José Müller Molina, Takeshi Shinohara
2006	—	`conf`	Characteristic Sets for Inferring the Unions of the Tree Pattern Languages by the Most Fitting Hypotheses. ICGI Yen Kaow Ng, Takeshi Shinohara
2006	B	`conf`	Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations. PAKDD Yen Kaow Ng, Takeshi Shinohara
2006	—	`conf`	On approximate matching of programs for protecting libre software. CASCON Arnoldo José Müller Molina, Takeshi Shinohara
2005	B	`conf`	Inferring Unions of the Pattern Languages by the Most Fitting Covers. ALT Yen Kaow Ng, Takeshi Shinohara
2005	B	`conf`	Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. Discovery Science Yen Kaow Ng, Hirotaka Ono, Takeshi Shinohara
2004	—	`conf`	Model Analysis of Digital Copyright Piracy on P2P Networks. SAINT Workshops Yoichiro Itakura, Makoto Yokozawa, Takeshi Shinohara
2002	—	`conf`	On Dimension Reduction Mappings for Approximate Retrieval of Multi-dimensional Data. Progress in Discovery Science Takeshi Shinohara, Hiroki Ishizaka
2002	C	`conf`	Processing Text Files as Is: Pattern Matching over Compressed Texts, Multi-byte Character Texts, and Semi-structured Texts. SPIRE Masayuki Takeda, Satoru Miyamoto, Takuya Kida, Ayumi Shinohara, Shuichi Fukamachi, Takeshi Shinohara, Setsuo Arikawa
2001	B	`conf`	An Efficient Derivation for Elementary Formal Systems Based on Partial Unification. Discovery Science Noriko Sugimoto, Hiroki Ishizaka, Takeshi Shinohara
2001	C	`conf`	Speed-up of Aho-Corasick Pattern Matching Machines by Rearranging States. SPIRE T. Nishimura, Shuichi Fukamachi, Takeshi Shinohara
2000	J	`jnl`	Approximate Retrieval of High-Dimensional Date with L New Gener. Comput. Takeshi Shinohara, Jiyuan An, Hiroki Ishizaka
2000	A	`conf`	Collaboration with Lean Media: how open-source software succeeds. CSCW Yutaka Yamauchi, Makoto Yokozawa, Takeshi Shinohara, Toru Ishida
2000	J	`jnl`	Inductive inference of unbounded unions of pattern languages from positive data. Theor. Comput. Sci. Takeshi Shinohara, Hiroki Arimura
2000	J	`jnl`	Polynomial-time Learning of Elementary Formal Systems. New Gener. Comput. Satoru Miyano, Ayumi Shinohara, Takeshi Shinohara
2000	C	`conf`	Speed-Up of Approximate String Matching Using Lossy Compression. EJC Shuichi Fukamachi, Takeshi Shinohara
2000	C	`conf`	Speeding Up Pattern Matching by Text Compression. CIAC Yusuke Shibata, Takuya Kida, Shuichi Fukamachi, Masayuki Takeda, Ayumi Shinohara, Takeshi Shinohara, Setsuo Arikawa
1999	B	`conf`	H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data. Discovery Science Takeshi Shinohara, Jianping Chen, Hiroki Ishizaka
1998	B	`conf`	Approximate Retrieval of High-Dimensional Data by Spatial Indexing. Discovery Science Takeshi Shinohara, Jiyuan An, Hiroki Ishizaka
1998	J	`jnl`	Finding Tree Patterns Consistent with Positive and Negative Examples Using Queries. Ann. Math. Artif. Intell. Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara
1997	J	`jnl`	Learning Unions of Tree Patterns Using Queries. Theor. Comput. Sci. Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara
1996	B	`conf`	Inductive Inference of Unbounded Unions of Pattern Languages from Positive Data. ALT Takeshi Shinohara, Hiroki Arimura
1995	B	`ed.`	Algorithmic Learning Theory, 6th International Conference, ALT '95, Fukuoka, Japan, October 18-20, 1995, Proceedings ALT Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann
1995	A	`conf`	BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences. ISMB Takayoshi Shoudai, Michael Lappe, Satoru Miyano, Ayumi Shinohara, Takeo Okazaki, Setsuo Arikawa, Tomoyuki Uchida, Shinichi Shimozono, Takeshi Shinohara, Satoru Kuhara
1995	—	`conf`	Developments in Computational Learning and Discovery Theory within the Framework of Elementary Formal Systems. Machine Intelligence 15 Setsuo Arikawa, Masako Sato, Ayumi Shinohara, Takeshi Shinohara
1995	B	`conf`	Editor's Introduction. ALT Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann
1995	B	`conf`	Learning Unions of Tree Patterns Using Queries. ALT Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara
1995	—	`conf`	Pattern Inference. GOSLER Final Report Takeshi Shinohara, Setsuo Arikawa
1994	A	`conf`	Finding Minimal Generalizations for Unions of Pattern Languages and Its Application to Inductive Inference from Positive Data. STACS Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki
1994	—	`conf`	Finding Tree Patterns Consistent with Positive and Negative Examples Using Queries. AII/ALT Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara
1994	J	`jnl`	Rich Classes Inferable from Positive Data: Length-Bounded Elementary Formal Systems Inf. Comput. Takeshi Shinohara
1994	J	`jnl`	Special Issue on Algorithmic Learning Theory. New Gener. Comput. Koichi Furukawa, Takeshi Shinohara, Yuji Takada
1993	J	`jnl`	A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns. New Gener. Comput. Setsuo Arikawa, Satoru Miyano, Ayumi Shinohara, Satoru Kuhara, Yasuhito Mukouchi, Takeshi Shinohara
1992	—	`conf`	A Generalization of the Least General Generalization. Machine Intelligence 13 Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki, Hiroki Ishizaka
1992	—	`conf`	A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns. FGCS Setsuo Arikawa, Satoru Kuhara, Satoru Miyano, Yasuhito Mukouchi, Ayumi Shinohara, Takeshi Shinohara
1992	B	`conf`	Efficient Inductive Inference of Primitive Prologs from Positive Data. ALT Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara
1992	J	`jnl`	Learning Elementary Formal Systems. Theor. Comput. Sci. Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto
1992	A*	`conf`	Polynomial Time Inference of a Subclass of Context-Free Transformations. COLT Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara
1991	—	`conf`	A Polynomial Time Algorithm for Finding Finite Unions of Tree Pattern Languages. Nonmonotonic and Inductive Logic Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki
1991	J	`jnl`	Inductive Inference of Monotonic Formal Systems from Positive Data. New Gener. Comput. Takeshi Shinohara
1991	—	`conf`	More About Learning Elementary Formal Systems. Nonmonotonic and Inductive Logic Setsuo Arikawa, Takeshi Shinohara, Satoru Miyano, Ayumi Shinohara
1991	B	`conf`	Polynomial-time inference of unions of tree pattern languages. ALT Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki
1991	A*	`conf`	The Correct Definition of Finite Elasticity: Corrigendum to Identification of Unions. COLT Tatsuya Motoki, Takeshi Shinohara, Keith Wright
1991	B	`conf`	Which classes of elementary formal systems are polynomial-time learnable. ALT Satoru Miyano, Ayumi Shinohara, Takeshi Shinohara
1990	A*	`conf`	Inductive Inference from Positive Data is Powerful. COLT Takeshi Shinohara
1990	B	`conf`	Inductive Inference of Monotonic Formal Systems from Positive Data. ALT Takeshi Shinohara
1989	A*	`conf`	Elementary Formal System as a Unifying Framework for Language Learning. COLT Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto
1986	A*	`conf`	Efficient Storage and Retrieval of Very Large Document Databases. ICDE Fumihiro Matsuo, Shouichi Futamura, Takeshi Shinohara
1985	—	`conf`	Efficient pattern matching algorithms and their applications to text information systems. RIAO Setsuo Arikawa, Takeshi Shinohara
1985	—	`conf`	Some problems on inductive inference from positive data. Mathematical Methods of Specification and Synthesis of Software Systems Takeshi Shinohara
1984	J	`jnl`	A Run-Time Efficient Realization of Aho-Corasick Pattern Matching Machines. New Gener. Comput. Setsuo Arikawa, Takeshi Shinohara
1984	J	`jnl`	GENAS: a database system for nucleic acid sequence analysis. Nucleic Acids Res. Satoru Kuhara, Fumihiro Matsuo, Syoichi Futamura, Atsushi Fujita, Takeshi Shinohara, Toshihisa Takagi, Yoshiyuki Sakaki
1982	—	`conf`	Polynomial Time Inference of Extended Regular Pattern Languages. RIMS Symposium on Software Science and Engineering Takeshi Shinohara