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003 DE-He213
005 20240730184316.0
007 cr nn 008mamaa
008 100301s2006 gw | s |||| 0|eng d
020 _a9783540341383
_9978-3-540-34138-3
024 7 _a10.1007/11752790
_2doi
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
072 7 _aUMB
_2thema
082 0 4 _a518.1
_223
245 1 0 _aSubspace, Latent Structure and Feature Selection
_h[electronic resource] :
_bStatistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers /
_cedited by Craig Saunders, Marko Grobelnik, Steve Gunn, John Shawe-Taylor.
250 _a1st ed. 2006.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2006.
300 _aX, 209 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3940
505 0 _aInvited Contributions -- Discrete Component Analysis -- Overview and Recent Advances in Partial Least Squares -- Random Projection, Margins, Kernels, and Feature-Selection -- Some Aspects of Latent Structure Analysis -- Feature Selection for Dimensionality Reduction -- Contributed Papers -- Auxiliary Variational Information Maximization for Dimensionality Reduction -- Constructing Visual Models with a Latent Space Approach -- Is Feature Selection Still Necessary? -- Class-Specific Subspace Discriminant Analysis for High-Dimensional Data -- Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery -- A Simple Feature Extraction for High Dimensional Image Representations -- Identifying Feature Relevance Using a Random Forest -- Generalization Bounds for Subspace Selection and Hyperbolic PCA -- Less Biased Measurement of Feature Selection Benefits.
650 0 _aAlgorithms.
_93390
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 0 _aComputer science.
_99832
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer vision.
_9135194
650 0 _aPattern recognition systems.
_93953
650 1 4 _aAlgorithms.
_93390
650 2 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aTheory of Computation.
_9135195
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Vision.
_9135196
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aSaunders, Craig.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9135197
700 1 _aGrobelnik, Marko.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135198
700 1 _aGunn, Steve.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135199
700 1 _aShawe-Taylor, John.
_eeditor.
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_9135200
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540341376
776 0 8 _iPrinted edition:
_z9783540823810
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v3940
_9135202
856 4 0 _uhttps://doi.org/10.1007/11752790
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