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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2012)

Search Results: Keywords 'from:2012-09-02 to:2012-09-02'
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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
10:00		 Tokyo   A Survey on Fairness/Discrimination-Aware Mining
Toshihiro Kamishima (AIST) PRMU2012-30 IBISML2012-13		 Fairness-aware / discrimination-aware mining is data analysis techniques while keeping aware of fairness, discrimination... [more] PRMU2012-30 IBISML2012-13
pp.1-8
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
10:30		 Tokyo   Detecting Changes of Graph Partitioning Structures using Stochastic Decision Trees
Shoichi Sato, Kenji Yamanishi (Univ. of Tokyo) PRMU2012-31 IBISML2012-14		 We are concerned with the issue of estimating graph partitioning structures
from time series and tracking their changes... [more]		 PRMU2012-31 IBISML2012-14
pp.9-16
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
11:00		 Tokyo   Medical image diagnosis of liver cancer by revised GMDH-type neural network self-organizing neural network architectures using heuristic self-organization
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) PRMU2012-32 IBISML2012-15		 In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-organizing neural network archit... [more] PRMU2012-32 IBISML2012-15
pp.17-22
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
10:00		 Tokyo   Information theoretic clustering using competitive learning -- Comparison of criterion functions and algorithms for document clustering --
Toshio Uchiyama (NTT) PRMU2012-33 IBISML2012-16		 Information-theoretic clustering (ITC) finds clusters based on the similarity of the distributions of features. An ITC a... [more] PRMU2012-33 IBISML2012-16
pp.23-30
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
10:30		 Tokyo   q-Gaussian Mixture Models for Video Semantic Indexing
Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-34 IBISML2012-17		 Gaussian mixture models (GMMs) which extend the bag-of-visual-words (BoW) to a probabilistic framework have been proved ... [more] PRMU2012-34 IBISML2012-17
pp.31-36
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
11:00		 Tokyo   A Compensation Method of Motion Features with Regression for Defective Depth Image
Ryo Yumiba (Hitachi), Yoshiki Agata, Hironobu Fujiyoshi (Chubu Univ) PRMU2012-35 IBISML2012-18		 In this paper, we propose a method for compensating motion features utilizing regression estimate based on correlation b... [more] PRMU2012-35 IBISML2012-18
pp.37-42
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
13:00		 Tokyo   [Special Talk] Tackling real business problems using machine learning
Tsuyoshi Ide (IBM) 		 [more]
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
14:15		 Tokyo   Detection of Physical Road Boundaries using Conformal Geometric Algebra
Hiroyuki Ishida, Jun-ichi Meguro, Yoshiko Kojima, Takashi Naito (TCRDL) PRMU2012-36 IBISML2012-19		 This paper presents a method for detecting guardrails and curbs by on-board stereo cameras. The proposed method employs ... [more] PRMU2012-36 IBISML2012-19
pp.43-48
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
14:45		 Tokyo   Detection of Text Area Inserted by Image Editing
Hiromi Hirano (RIT), Makoto Okabe (UEC/JST) PRMU2012-37 IBISML2012-20		 Traditionally, Optical Character Recognition (OCR) technologies have been applied to recognize texts embedded in an imag... [more] PRMU2012-37 IBISML2012-20
pp.49-56
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-02
16:00		 Tokyo   [Panel Discussion] Special Session: Needs from Business Side
Minoru Etoh (DNP), Koichi Matsuda (Sony Computer Entertainment), Minoru Etoh (NTT Docomo), Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2012-38 IBISML2012-21		  [more] PRMU2012-38 IBISML2012-21
pp.81-84
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
10:00		 Tokyo   Formulation of pattern recognition including photometric adjustment for efficient face tracking and recognition
Takeshi Shakunaga, Hisayoshi Chugan, Yuki Oka (Okayama Univ) PRMU2012-39 IBISML2012-22		 This paper discusses improvement of our face tracking and recognition
system. For the purpose, error analysis of the w... [more]		 PRMU2012-39 IBISML2012-22
pp.85-92
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
10:30		 Tokyo   Nonparametric Bayesian Estimation for Automatic Image Annotation Using Gaussian Mixture Model
Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The universisty of Tokyo) PRMU2012-40 IBISML2012-23		 Automatic image annotation (AIA) is a process to automatically assign metadata to a digital image in the form of caption... [more] PRMU2012-40 IBISML2012-23
pp.93-98
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
11:00		 Tokyo   A preliminary study on a pedestrian detector adaptive to the driving environment using an in-vehicle camera
Daichi Suzuo, Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs., Inc.) PRMU2012-41 IBISML2012-24		 Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedest... [more] PRMU2012-41 IBISML2012-24
pp.99-104
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
09:30		 Tokyo   Simultaneous training of multi-class object detectors via large scale image dataset -- introduction of target specific negative classes --
Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Tatsuya Harada, Yasuo Kuniyoshi (Univ. Tokyo) PRMU2012-42 IBISML2012-25		 We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The ... [more] PRMU2012-42 IBISML2012-25
pp.105-112
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
10:00		 Tokyo   [Survey paper] Human Detection Based on Statistical Learning
Yuji Yamauchi (Chubu Univ.), Takayoshi Yamashita (Omron), Hironobu Fujiyoshi (Chubu Univ.) PRMU2012-43 IBISML2012-26		  [more] PRMU2012-43 IBISML2012-26
pp.113-126
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
11:00		 Tokyo   Multiple-person activity recognition with group relationships
Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato (The Univ. of Tokyo) PRMU2012-44 IBISML2012-27		 In this paper, we propose an activity localization method with contextual information of multiple person relationships.
... [more]		 PRMU2012-44 IBISML2012-27
pp.127-132
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
14:15		 Tokyo   Looking back on past PRMU Algorithm Contests
Daisuke Deguchi (Nagoya Univ.), Yoshinari Kameda, Itaru Kitahara (Tsukuba Univ.), Kazuaki Kondo (Kyoto Univ.), Atsushi Shimada (Kyushu Univ.), Shinsaku Hiura (Hiroshima City Univ.) PRMU2012-45 IBISML2012-28		 PRMU (Pattern Recognition and Media Understanding) technical group of IEICE-ISS holds algorithm contests every year to p... [more] PRMU2012-45 IBISML2012-28
pp.143-147
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
14:45		 Tokyo   NN-based Local Subspace Method for Image Registration with Sparse Dictionary
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-48 IBISML2012-31		 In this paper, we develop an efficient algorithm for nearest-neighbour-search (NNS)-based global image registration. By ... [more] PRMU2012-48 IBISML2012-31
pp.179-184
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
15:30		 Tokyo   Group Activity Recognition by CRFs with Multiscale Dependency
Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato (The Univ. of Tokyo) PRMU2012-49 IBISML2012-32		 Group activity recognition has gained attention in computer vision community. Examples of group activities are queueing ... [more] PRMU2012-49 IBISML2012-32
pp.185-190
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
16:00		 Tokyo   A study on a method for high-accuracy detection of a pedestrian holding an umbrella with generative learning
Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs., Inc.) PRMU2012-50 IBISML2012-33		 Recently, pedestrian detection from in-vehicle camera images has become an interesting topic for researchers. Especially... [more] PRMU2012-50 IBISML2012-33
pp.191-196
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