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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
COMP, IPSJ-AL 2024-09-05
15:30
Hiroshima Hiroshima Institute of Technology (Hiroshima, Online)
(Primary: On-site, Secondary: Online)
Computing Betweenness Centrality in Time-varying Network using Zero-suppressed Binary Decision Diagram
Daiki Ando, Yu Nakahata, Shoji Kasahara (NAIST) COMP2024-10
Betweenness Centrality (BC) is a measure of the importance of the vertices in a network. BC has been extensively studied... [more] COMP2024-10
pp.1-7
COMP 2023-03-02
11:00
Tokyo Ochanomizu University (Tokyo) Finding Forcing on ZDD by Dynamic Programming
Takashi Harada, Shogo Takeuchi (Kochi Univ. of Tech.) COMP2022-33
Exact cover problem takes a set S and a subset F of the power set of S as an input and determines whether there exists a... [more] COMP2022-33
pp.1-6
IT, ISEC, RCC, WBS 2022-03-11
16:25
Online Online (Online) An Efficient Method for Constructing Garbled Circuits Using Linked Lists
Guangjian Liu, Hikaru Morita (Graduate School of Kanagawa Univ) IT2021-131 ISEC2021-96 WBS2021-99 RCC2021-106
Since the proposal of the Garbled Circuit by Yao, a number of construction methods for secret circuits have been propose... [more] IT2021-131 ISEC2021-96 WBS2021-99 RCC2021-106
pp.281-284
ISEC, IT, WBS 2020-03-11
12:10
Hyogo University of Hyogo (Hyogo)
(Cancelled but technical report was issued)
A Construction Method of Garbled Circuits for ZDD
Takayuki Masui, Hikaru Morita (Graduate Schoool, Kanagawa Univ) IT2019-114 ISEC2019-110 WBS2019-63
Kruger et al proposed a new method to construct Garbled Circuits for BDD, which gives a compression expression of logic... [more] IT2019-114 ISEC2019-110 WBS2019-63
pp.167-170
SITE 2019-12-06
13:50
Kanagawa (Kanagawa) Deciding Equivalence of The Rule List Policies via SAT solver
Takashi Fuchino (Kanagawa Univ.), Takashi Harada (Kochi Univ. of Tech), Ken Tanaka (Kanagawa Univ.), Kenji Mikawa (Niigata Univ.) SITE2019-82
Packet classification is to determine the behaviors of packets incoming to network devices. Since it is achieved using l... [more] SITE2019-82
pp.13-19
COMP, IPSJ-AL 2019-05-11
10:40
Kumamoto Kumamoto University (Kumamoto) Enumerating and Indexing Graph Subdivisions using Zero-suppressed Binary Decision Diagrams
Yu Nakahata, Jun Kawahara (Kyoto Univ.), Takashi Horiyama (Saitama Univ.), Shin-ichi Minato (Kyoto Univ.) COMP2019-3
A subdivision of a graph $H$ is a graph obtained by inserting some vertices into each edge of $H$.
In this paper, when ... [more]
COMP2019-3
pp.51-58
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2017-11-06
13:25
Kumamoto Kumamoto-Kenminkouryukan Parea (Kumamoto) RECONF2017-38 Graph processing has memory access with low locality, and it is not easy to process large-scale graphs which have the mi... [more] RECONF2017-38
pp.7-12
SIP, CAS, MSS, VLD 2017-06-19
14:10
Niigata Niigata University, Ikarashi Campus (Niigata) Computing the Number of Packets that match A Filtering Rule via MTZDDs
Takashi Harada, Ken Tanaka (Kanagawa Univ.), Kenji Mikawa (Niigata Univ.) CAS2017-9 VLD2017-12 SIP2017-33 MSS2017-9
A filtering policy is denoted as a filtering rule list and is achieved by linear search of the rule list. The increase i... [more] CAS2017-9 VLD2017-12 SIP2017-33 MSS2017-9
pp.45-50
DC, SS 2016-10-27
11:00
Shiga Hikone Kinro-Fukushi Kaikan Bldg. (Shiga) ZDD-based test case generation method for high strength combinatorial interaction testing
Teru Ohashi, Tatsuhiro Tsuchiya (Osaka Univ) SS2016-18 DC2016-20
Combinatorial interaction testing is a well practiced software testing method.
This method requires any $t$-wise para... [more]
SS2016-18 DC2016-20
pp.1-6
COMP, IPSJ-AL 2016-06-24
15:45
Ishikawa (Ishikawa) Enumerating Letter Graphs by Zero-suppressed Decision Diagrams
Jun Kawahara (NAIST), Toshiki Saitoh (Kobe Univ.), Ryo Yoshinaka (Tohoku Univ.) COMP2016-8
A zero-suppressed binary decision diagram (ZDD) is a compact data structure that represents a family of sets. A framewor... [more] COMP2016-8
pp.33-40
IN, NV
(Joint)
2015-07-17
11:15
Hokkaido Hokkaido University (Hokkaido) [Invited Talk] Exploiting ZDDs on Constrained Dynamic Programming Problems
Norihito Yasuda (Hokkaido Univ.) IN2015-34
Dynamic Programming is a fundamental tool for many optimization problems. However, in practical situations, in addition ... [more] IN2015-34
pp.67-72
COMP 2015-04-23
14:10
Miyagi (Miyagi) Frontier Method for Enumerating and Indexing the Vertex Induced Subgraphs
Hirofumi Suzuki, Shin-ichi Minato (Hokkaido Univ.) COMP2015-3
(To be available after the conference date) [more] COMP2015-3
pp.15-20
COMP 2015-03-09
11:10
Kyoto Ritsumeikan University (Kyoto) ZDD Construction for Maximal Independent Set Enumeration on Hypergraph
Teruji Sugaya (OUJ), Takahisa Toda (UEC), Shin-ichi Minato (HU) COMP2014-45
In this paper, we present an efficient algorithm to enumerate maximal independent sets in hypergraph.
In the presented... [more]
COMP2014-45
pp.19-27
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. (Aichi) [Poster Presentation] Enumerating all the optimal solutions of multiple travelling salesman problem by using simpath algorithm
Masashi Ogawa, Masato Inoue (Waseda Univ.) IBISML2014-78
In this manuscript, we propose an exact method which answers all the optimal solutions of "multiple traveling salesman p... [more] IBISML2014-78
pp.321-328
IN, NV
(Joint)
2013-07-18
14:55
Hokkaido Hokkaido Univ. Faculty of Eng. Academic Lounge 3 (Hokkaido) [Invited Talk] Graphillion: Software Library for Very Large Sets of Graphs
Takeru Inoue (JST ERATO) IN2013-43
Several graph libraries have been developed in the past few decades,
but they were designed to work with a few graphs e... [more]
IN2013-43
pp.43-47
COMP, IPSJ-AL 2013-05-17
15:05
Hokkaido Otaru University of Commerce (Hokkaido) Efficient Enumeration of Directed Binary Perfect Phylogenies using Dynamic Programming
Kazuki Morito (SEIBU CONSTRUCTION), Toshiki Saitoh, Kazuaki Yamaguchi, Sumio Masuda (Kobe Univ.) COMP2013-12
We consider an enumeration of directed binary perfect phylogenies from incomplete data. Recently, Kiyomi et al. proposed... [more] COMP2013-12
pp.63-70
COMP 2013-03-18
13:20
Gifu Gifu University (Gifu) Auxiliary Skip Links for Quick Traversal of ZDDs to Manipulate Large-Scale Sparse Matrices
Shin-ichi Minato (Hokkaido Univ.) COMP2012-55
ZDD (Zero-suppressed Binary Decision Diagram) is known as an efficient data structure for representing and manipulating ... [more] COMP2012-55
pp.15-22
COMP 2013-03-18
13:45
Gifu Gifu University (Gifu) Compact and Fast Indices Based on Zero-Suppressed Binary Decision Diagrams
Shuhei Denzumi (Hokkaido Univ.), Jun Kawahara (NAIST), Koji Tsuda (AIST/JST), Hiroki Arimura (Hokkaido Univ.), Shin-ichi Minato (Hokkaido Univ./JST), Kunihiko Sadakane (NII) COMP2012-56
In many real-life problems, we are often faced with manipulating families of sets. Manipulation of large-scale set famil... [more] COMP2012-56
pp.23-30
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2012-11-26
10:55
Fukuoka Centennial Hall Kyushu University School of Medicine (Fukuoka) An Efficient ZDD Construction Method Using Recursive Specifications
Hiroaki Iwashita, Jun Kawahara (JST), Shin-ichi Minato (Hokkaido Univ.) VLD2012-63 DC2012-29
In recent years, new enumeration methods using zero-suppressed binary decision diagrams (ZDDs) has been attracting atten... [more] VLD2012-63 DC2012-29
pp.25-29
CS 2012-11-21
11:30
Hokkaido Kitayuzawa Meisuitei, Hokkaido (Hokkaido) [Special Invited Talk] ERATO MINATO Discrete Structure Manipulation System Project and Future Prospects
Shin-ichi Minato (Hokkaido Univ.) CS2012-70
Discrete structure manipulation is a fundamental technique for many problems solved by computers. Recently, BDD (Binary ... [more] CS2012-70
pp.35-40
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