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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, CAS, MSS, VLD 2017-06-19
11:20		 Niigata Niigata University, Ikarashi Campus An Optimization Method for Automotive Engine Control Parameters Using Gradient Methods
Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6		 In this study, we address a problem to obtain optimum control parameters by computing an inverse image of the target out... [more] CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6
pp.31-36
IBISML 2015-11-26
15:00		 Ibaraki Epochal Tsukuba [Poster Presentation] Approximate Distribution Followed by A Principal Component Term Corresponding with the Population Eigenvalue of zero value in the Q Statistic
Yasuyuki Kobayashi (Teikyo Univ.) IBISML2015-52		 The Mahalanobis distance requires all the population eigenvalues of the population covariance matrix larger than zero. H... [more] IBISML2015-52
pp.1-7
CQ, IMQ, MVE, IE
(Joint) [detail]		 2015-03-04
11:40		 Tokyo Seikei Univ. Fast Bag-of-Feature Generation Featuring Approximate Nearest Image-Patch Search
Kei Ito, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) IMQ2014-53 IE2014-114 MVE2014-101		 In Bag-of-Features models, which have been widely used in object recognition, various speed-up approaches have been deve... [more] IMQ2014-53 IE2014-114 MVE2014-101
pp.125-126
IBISML 2014-11-17
17:00		 Aichi Nagoya Univ. [Poster Presentation] Approximate Models of Probability Distributions for Principal Components of Sample Mahalanobis Distances -- About Each Element and Partial Sum of Sample Mahalanobis Distances --
Yasuyuki Kobayashi (Teikyo Univ.) IBISML2014-37		 Probability distributions of the principal components and their partial sum, into which a sample Mahalanobis distance is... [more] IBISML2014-37
pp.17-24
 Results 1 - 4 of 4  /   
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