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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2014)

Search Results: Keywords 'from:2014-09-01 to:2014-09-01'

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Search Results: Conference Papers

Conference Papers (Available on Advance Programs) (Sort by: Date Ascending)

Committee	Date Time	Place	Paper Title / Authors	Abstract	Paper #
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 10:00	Ibaraki	A Note on Improvement in the Rate of a Prediction Error of AdaBoost in Pattern Recognition Hideyuki Masui, Ryoma Tsuduki, Nozomi Miya, Toshiyasu Matsushima (Waseda Univ.) PRMU2014-36 IBISML2014-17	AdaBoost is an algorithm used for pattern recognition. This algorithm successively makes the model which minimizes an er... [more]	PRMU2014-36 IBISML2014-17 pp.1-6
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 10:30	Ibaraki	Nonnegative Matrix Factorization using competitive learning Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2014-37 IBISML2014-18	Nonnegative Matrix Factorization (NMF) is a popular technique in data processing, and convergence-guranteed multiplicati... [more]	PRMU2014-37 IBISML2014-18 pp.7-12
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 11:00	Ibaraki	Multi-Class Discrimination by Multi-Stage Configuration of 2-Layer Weight Equation Systems Takeshi Shakunaga, Tsuyoshi Fukuda, Hisayoshi Chugan (Okayama Univ) PRMU2014-38 IBISML2014-19	This paper discusses a novel hierarchical overdetermined approach for face tracking and recognition using the augmented ... [more]	PRMU2014-38 IBISML2014-19 pp.13-19
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 10:00	Ibaraki	Eye Movement Measurements of Tennis Player Satoru Morita, Ryotaro Ishida (Yamaguchi Univ.) PRMU2014-39 IBISML2014-20	[more]	PRMU2014-39 IBISML2014-20 pp.21-27
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 10:30	Ibaraki	Interactive Manga Segmentation Yuji Aramaki, Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) PRMU2014-40 IBISML2014-21	We propose a method for segmenting manga images interactively. We use our lossless thinning, which enables raster{vector... [more]	PRMU2014-40 IBISML2014-21 pp.29-35
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 11:00	Ibaraki	Visualization of Illustrations based on Drawing Style Similarity of Authors Daiki Matsumoto, Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo), Takanori Katagiri (pixiv) PRMU2014-41 IBISML2014-22	Illustration is a common way of communication. A lot of illustrations are uploaded, shared and viewed on illustration-sh... [more]	PRMU2014-41 IBISML2014-22 pp.37-42
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 13:00	Ibaraki	[Invited Talk] Accelerate plant breeding with genomic selection -- Modeling methods for genetic potential prediction -- Hiroyoshi Iwata (Univ. of Tokyo) PRMU2014-42 IBISML2014-23	[more]	PRMU2014-42 IBISML2014-23 p.43
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 14:00	Ibaraki	[Invited Talk] Innovation of Agriculture by Information Science Masayuki Hirafuji (NARO) PRMU2014-43 IBISML2014-24	As for the agriculture, products are biomass, and the means of production is ecosystem. Besides, amount of production an... [more]	PRMU2014-43 IBISML2014-24 pp.45-49
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 15:20	Ibaraki	Automatic Grading of the Fruit by Color Image Analysis using Auto-associative Neural Networks Ayaka Okada, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2014-44 IBISML2014-25	In this study, we propose an automatic grading algorithm of fruits using the property that color of the fruits is compos... [more]	PRMU2014-44 IBISML2014-25 pp.51-56
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 15:50	Ibaraki	Fish species classification by the support vector machine Atsushi Kinjo, Masanori Ito, Ikuo Matsuo (Tohoku Gakuin Univ.), Tomohito Imaizumi, Tomonari Akamatsu (FRA-NRI) PRMU2014-45 IBISML2014-26	Fish species classification using echo-sounder is important for fisheries. With school of mixed species, it is necessary... [more]	PRMU2014-45 IBISML2014-26 pp.57-62
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 16:30	Ibaraki	Dimentionality Reduction Methods Using Error Correcting Codes for Feature Extraction Wataru Matsumoto, Genta Yoshimura, Takashi Yamazaki (Mitsubishi Electric) PRMU2014-46 IBISML2014-27	For various media retrieval and recognition applications, we consider the feature extraction vector compressed by a spar... [more]	PRMU2014-46 IBISML2014-27 pp.81-84
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 17:00	Ibaraki	Analysing the Fairness of Fairness-aware Classifiers Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28	Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more]	PRMU2014-47 IBISML2014-28 pp.85-92
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-01 17:30	Ibaraki	Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) PRMU2014-48 IBISML2014-29	In order to apply machine learning algorithms to real world problems, it is necessary to ensure that discrimination, unf... [more]	PRMU2014-48 IBISML2014-29 pp.93-100
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-02 09:30	Ibaraki	Study of Recognizing Customers' Behaviors in Shops by Dynamic Image Processing and Bayesian Network Jing Yan, Takayuki Hori, Jun Ohya (Waseda Univ.) PRMU2014-49 IBISML2014-30	This paper explores the validity of embedding the image processing based extraction of 10 image features that could desc... [more]	PRMU2014-49 IBISML2014-30 pp.101-106
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-02 11:00	Ibaraki	A preliminary study on the estimation of human orientation using an integrated RGB-D sensor Fumito Shinmura, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hironobu Fujiyoshi (Chubu Univ.) PRMU2014-50 IBISML2014-31	In this paper, we report a preliminary study on estimation of human orientation using an RGB-D sensor. We propose a meth... [more]	PRMU2014-50 IBISML2014-31 pp.121-125
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-02 15:15	Ibaraki	On Improvement of Tensor Spectral Method for Estimation of Mixed Membership Stochastic Block Model Wataru Kaigaishi (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.) PRMU2014-51 IBISML2014-32	Maximum likelihood estimation is a common approach to estimating mixed membership stochastic block models; however, it i... [more]	PRMU2014-51 IBISML2014-32 pp.131-136
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-02 15:45	Ibaraki	Sampling Learning Algorithm by Oracle Distribution Sho Sonoda, Noboru Murata (Waseda Univ.) PRMU2014-52 IBISML2014-33	A new sampling learning algorithm for neural networks is proposed. Based on the integral representation of neural networ... [more]	PRMU2014-52 IBISML2014-33 pp.137-142
PRMU, IBISML, IPSJ-CVIM [detail]	2014-09-02 16:15	Ibaraki	Rates of convergence of the universal Bayesian measure for continuous data Takanori Ayano, Joe Suzuki (Osaka Univ.) PRMU2014-53 IBISML2014-34	It is very important to estimate the probability of the data series accurately for applying MDL information criterion. ... [more]	PRMU2014-53 IBISML2014-34 pp.143-146

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