000 04454nam a22006615i 4500
001 978-3-642-33212-8
003 DE-He213
005 20240730184222.0
007 cr nn 008mamaa
008 120911s2012 gw | s |||| 0|eng d
020 _a9783642332128
_9978-3-642-33212-8
024 7 _a10.1007/978-3-642-33212-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aArtificial Neural Networks in Pattern Recognition
_h[electronic resource] :
_b5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012, Proceedings /
_cedited by Nadia Mana, Friedhelm Schwenker, Edmondo Trentin.
250 _a1st ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aX, 245 p. 80 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7477
505 0 _aLearning Algorithms -- How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?- Kernel Robust Soft Learning Vector Quantization -- Incremental Learning by Message Passing in Hierarchical Temporal -- Representative Prototype Sets for Data Characterization and Classification -- Feature Selection by Block Addition and Block Deletion -- Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants -- Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning -- Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation -- Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network -- On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition -- Classification of Segmented Objects through a Multi-net Approach -- On Instance Selection in Audio Based Emotion Recognition -- Grayscale Images and RGB Video: Compression by Morphological Neural Network -- NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals.
520 _aThis book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas.
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 0 _aData mining.
_93907
650 0 _aComputer vision.
_9134913
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aImage processing
_xDigital techniques.
_94145
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aData Mining and Knowledge Discovery.
_9134914
650 2 4 _aComputer Vision.
_9134915
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
700 1 _aMana, Nadia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9134916
700 1 _aSchwenker, Friedhelm.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9134917
700 1 _aTrentin, Edmondo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9134918
710 2 _aSpringerLink (Online service)
_9134919
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642332111
776 0 8 _iPrinted edition:
_z9783642332135
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7477
_9134920
856 4 0 _uhttps://doi.org/10.1007/978-3-642-33212-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c92243
_d92243