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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 26 of 26 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, HIP 2007-09-04
16:00		 Aichi Nagoya Univ. Pattern Recognition by Kernel Wiener Filter
Hirokazu Yoshino, Yukihiko Yamashita (Tokyo Tech) PRMU2007-87 HIP2007-96		 Wiener filter is used widely for the inverse problem. From a observed signal, it provides the best restored
signal with... [more]		 PRMU2007-87 HIP2007-96
pp.251-256
PRMU 2007-03-16
15:15		 Okayama   Performance evaluation of correlation kernels to texture classification
Yo Horikawa (Kagawa Univ.) 		Correlation kernels, which are the inner products of the autocorrelation functions of original data, have been used in k... [more] PRMU2006-276
pp.125-130
PRMU, NLC 2005-02-25
13:45		 Tokyo   [Special Talk] Kernel Methods for Analyzing Structured-data
Hisashi Kashima (IBM Research) 		We introduce kernel-based approaches for analyzing structured data
such as sequences, trees, and graphs.
Especially,
... [more]		 NLC2004-126 PRMU2004-208
pp.61-66
IE, ITE-BCT, ITE-AIT, ITE-ME 2004-11-26
09:30		 Nagasaki   Pattern Classification Using Distance Weighted Average Pattern of k Nearest Neighbors
Seiji Hotta, Senya Kiyasu, Sueharu Miyahara (Nagasaki Univ.) 		The recognition rate of the typical nonparametric method ``$k$-Nearest Neighbor rule ($k$NN)" is degraded when the dimen... [more] IE2004-86
pp.1-4
PRMU 2004-10-22
11:30		 Hiroshima   Inter-modal Learning for Acquiring Concepts from Audio-visual Input
Katsuhiko Ishiguro (Univ. Tokyo), Nobuyuki Otsu (AIST/Univ. Tokyo), Yasuo Kuniyoshi (Univ. Tokyo) 		We propose an inter-modal learning system which acquires concepts
from auditory and visual information. The system ex... [more]		 PRMU2004-92
pp.17-24
AI 2004-06-21
10:50		 Tokyo Kikai-Shinko-Kaikan Bldg. Kernel-based Discriminative Learning Algorithms for Labeling Sequences, Trees and Graphs
Hisashi Kashima, Yuta Tsuboi (IBM Research) 		We introduce a new perceptron-based discriminative learning algorithm fo
r labeling structural data such as sequences, ... [more]		 AI2004-3
pp.13-18
 Results 21 - 26 of 26 [Previous]  /   
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