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024 7 _a10.1007/978-3-642-24965-5
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072 7 _aCOM014000
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072 7 _aUYA
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082 0 4 _a004.0151
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245 1 0 _aNeural Information Processing
_h[electronic resource] :
_b18th International Conference, ICONIP 2011, Shanghai,China, November 13-17, 2011, Proceedings, Part III /
_cedited by Bao-Liang Lu, Liqing Zhang, James Kwok.
250 _a1st ed. 2011.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXXII, 790 p.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v7064
520 _aThe three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.
650 0 _aComputer science.
_99832
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 0 _aData mining.
_93907
650 0 _aComputer simulation.
_95106
650 0 _aComputer vision.
_9143674
650 1 4 _aTheory of Computation.
_9143675
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aData Mining and Knowledge Discovery.
_9143676
650 2 4 _aComputer Modelling.
_9143677
650 2 4 _aComputer Vision.
_9143678
700 1 _aLu, Bao-Liang.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9143679
700 1 _aZhang, Liqing.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9143680
700 1 _aKwok, James.
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_4http://id.loc.gov/vocabulary/relators/edt
_9143681
710 2 _aSpringerLink (Online service)
_9143682
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642249648
776 0 8 _iPrinted edition:
_z9783642249662
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v7064
_9143683
856 4 0 _uhttps://doi.org/10.1007/978-3-642-24965-5
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