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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 17件中 1~17件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, ASJ-H, ASJ-AA 2019-07-17
11:00
Hokkaido SAPPORO COMMUNITY PLAZA Sound source separation by synchronized joint diagonalization under underdetermined conditions using regularization
Taiki Izumi (Oita Univ.), Yuuki Tachioka (Denso IT Laboratory), Shingo Uenohara, Ken'ichi Furuya (Oita Univ.)
(To be available after the conference date) [more] EA2019-13
pp.65-70
SP 2019-06-13
13:30
Kanagawa Tokyo Institute of Technology A study on style transplantation modeling techniques for DNN-based speech synthesis
Yoshiki Hiruta (Tokyo Tech), Tomoki Koriyama (The Univ. of Tokyo), Yuuki Tachioka (Denso IT Lab), Takao Kobayashi (Tokyo Tech)
This paper investigates style transplantation modeling techniques for DNN-based statistical parametric speech synthesis.... [more] SP2019-1
pp.1-6
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
13:00
Okinawa Okinawa Institute of Science and Technology Variable Order Infinite Hidden Markov Models
Kei Uchiumi (Denso ITLab), Daichi Mochihashi (ISM)
 [more] IBISML2018-5
pp.31-38
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
09:25
Okinawa   Stable Estimation Method of Spatial Correlation Matrices for Multi-channel NMF
Yuuki Tachioka (Denso IT Lab)
Multi-channel non-negative matrix factorization (MNMF) achieves a high sound source separation performance but its initi... [more] EA2017-103 SIP2017-112 SP2017-86
pp.7-12
PRMU 2016-12-15
14:30
Tottori   [Invited Talk] Dynamic datasets for flexible pattern recognition -- The 2nd Grand Challenge of PRMU --
Mitsuru Ambai (Denso IT Laboratory, Inc.)
Standard pattern recognition uses N labelled data to learn a mapping function that relates an input pattern to a pre-def... [more] PRMU2016-113
p.11
PRMU 2016-12-16
13:15
Tottori   (To be available after the conference date) [more] PRMU2016-122
pp.47-52
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. Approximate Value Iteration Algorithms for Partially Observable Markov Decision Processes in Geometric Dual Representation
Hiroshi Tsukahara, Mitsuru Anbai, Makoto Oobayashi (Denso IT Lab.)
We propose new approximate algorithms for the value iteration of partially observable Markov decision
processes (POMDPs... [more]
IBISML2016-71
pp.177-184
PRMU 2015-12-21
15:10
Nagano   Local feature description for keypoint matching
Mitsuru Ambai (Denso IT Laboratory, Inc.), Takahiro Hasegawa, Hironobu Fujiyoshi (Chubu University)
A task of finding physically the sample points among multiple images captured from different viewpoints is called as key... [more] PRMU2015-104
pp.53-73
RCS 2014-04-17
13:30
Aichi Nagoya Institute of Technology [Invited Lecture] Application Development of Centrally Controlled Vehicles -- Configuration of Communication Part of ITS World Congress Tokyo 2013 Smart Charging Demonstration --
Hidenori Akita (DENSO), Ryoma Niihara (Denso IT Laboratory), Masakazu Kagawa (DENSO)
In this paper, we describe the overview of smart charging demonstration system and the configuration of communication pa... [more] RCS2014-4
pp.19-22
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Gaussian Sparse Hashing
Koichiro Suzuki, Mitsuru Ambai, Ikuro Sato (Denso IT Labo)
Binary hashing has been widely used for Approximate Nearest Neighbor(ANN) search due to fast query
speed and less stora... [more]
IBISML2013-56
pp.155-160
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. A Binary Coding Method Based on Second Order Moment
Koichiro Suzuki, Mitsuru Ambai, Ikuro Sato (Denso ITlab.)
We propose a binary coding method using the 2nd order statics of data. We
assume the data are described by the Multivar... [more]
IBISML2012-62
pp.199-203
PRMU, FM 2011-12-15
16:45
Shizuoka Hamamatsu Campus, Shizuoka Univ. [Special Talk] Advanced researches on image features for recent computational devices
Mitsuru Ambai (Denso IT Laboratory, Inc.)
In this paper, we introduce our two researches in the context of recent development on computational devices. The first... [more] PRMU2011-131
pp.37-40
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
10:00
Fukuoka Fukuoka Univ. Generic Object Recognition Based on Rough Segmentation Data Given by a User
Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.)
In this paper, we revisit a generic object recognition problem from a point of view of human-computer interaction. Many ... [more] PRMU2010-59 IBISML2010-31
pp.13-20
PRMU 2009-11-26
10:40
Ishikawa Ishikawa Industrial Promotion Center Labeling method using co-occurance model between visual word and word
Yuichi Yoshida, Mitsuru Ambai (DENSO IT LAB.)
In this paper, we propose a novel labeling method that uses image and text obtained from the web as a training set.Exist... [more] PRMU2009-99
pp.39-44
PRMU 2009-11-27
15:40
Ishikawa Ishikawa Industrial Promotion Center Non-negative Matrix Factorization with Prior Knowledge
Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.)
Divergence metric is sutable for histogram features and probability density distribution, because the divergence metric ... [more] PRMU2009-130
pp.265-270
PRMU 2008-12-19
10:45
Kumamoto Kumamoto Univ. Annotation method of segmented regions using a number of feature points shared among different images
Yuichi Yoshida, Mitsuru Ambai (Denso It Lab, Inc.)
We propose an object annotation method for images obtained by widely available search engines oninternet. The goal of th... [more] PRMU2008-176
pp.171-176
PRMU 2008-12-19
11:45
Kumamoto Kumamoto Univ. Multiclass VisualRank: Image Ranking Method in Clustered Subsets Based on Visual Features
Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc)
In this paper, we propose Multiclass VisualRank, a method that expands the idea of VisualRank into more than one categor... [more] PRMU2008-178
pp.183-188
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