國立虎尾科技大學 |

Neural Information Processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Neural Information Processing/ edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu.
其他題名:	23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV /
其他作者:	Hirose, Akira.
面頁冊數:	XIX, 663 p. 254 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Pattern recognition. -
電子資源:	https://doi.org/10.1007/978-3-319-46681-1
ISBN:	9783319466811

Neural Information Processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV /
Neural Information Processing23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV /[electronic resource] :edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu. - 1st ed. 2016. - XIX, 663 p. 254 illus.online resource. - Theoretical Computer Science and General Issues ;9950. - Theoretical Computer Science and General Issues ;9163.

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

ISBN: 9783319466811

Standard No.: 10.1007/978-3-319-46681-1doiSubjects--Topical Terms:

1253525
Pattern recognition.

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Neural Information Processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV /
LDR:02550nam a22004095i 4500 001 980994
003 DE-He213
005 20200629160932.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319466811 $9 978-3-319-46681-1
024 7 $a 10.1007/978-3-319-46681-1 $2 doi
035 $a 978-3-319-46681-1
050 4 $a Q337.5
050 4 $a TK7882.P3
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
082 0 4 $a 006.4 $2 23
245 1 0 $a Neural Information Processing $h [electronic resource] : $b 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV / $c edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XIX, 663 p. 254 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Theoretical Computer Science and General Issues ; $v 9950
520 $a The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.
650 0 $a Pattern recognition. $3 1253525
650 0 $a Optical data processing. $3 639187
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computers. $3 565115
650 0 $a Data mining. $3 528622
650 0 $a Application software. $3 528147
650 1 4 $a Pattern Recognition. $3 669796
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computation by Abstract Devices. $3 669792
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
700 1 $a Hirose, Akira. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 891389
700 1 $a Ozawa, Seiichi. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1211105
700 1 $a Doya, Kenji. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1273564
700 1 $a Ikeda, Kazushi. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1273565
700 1 $a Lee, Minho. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 792177
700 1 $a Liu, Derong. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 677355
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319466804
776 0 8 $i Printed edition: $z 9783319466828
830 0 $a Theoretical Computer Science and General Issues ; $v 9163 $3 1253524
856 4 0 $u https://doi.org/10.1007/978-3-319-46681-1
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)