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Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, SIP, MSS, VLD 2018-06-14
09:20		 Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) How to represent a polynomial function by Neural Networks with rectified linear units
Hideaki Okazaki, Kazuya Ozawa, Kaito Isogai, Toshihiro Tachibana, Hideo Nakano (SIT) CAS2018-2 VLD2018-5 SIP2018-22 MSS2018-2		 In this report we study how to represent an exact polynomial function by neural networks (NN) with rectified linear un... [more] CAS2018-2 VLD2018-5 SIP2018-22 MSS2018-2
pp.7-10
COMP 2011-10-21
14:25		 Miyagi Tohoku Univ. Complexity Theory for Operators in Analysis
Akitoshi Kawamura (Univ. of Tokyo), Stephen Cook (Univ. of Toronto) COMP2011-32		 We propose a new framework for discussing the computational complexity of problems involving uncountably many objects, s... [more] COMP2011-32
pp.25-32
PRMU 2005-10-27
10:30		 Miyagi Tohoku Univ. Pattern Representation by Functions for Recognition
Masako Omachi (Tohoku Bunka Gakuen Univ.), Shinichiro Omachi (Tohoku Univ.), Tsuneo Saito (Tohoku Bunka Gakuen Univ.) 		Fast and precise object detection in an image is one of the most important problems in the field of pattern recognition ... [more] PRMU2005-84
pp.1-6
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