000			05280nam a22005895i 4500
001			978-3-540-32098-2
003			DE-He213
005			20160624101923.0
007			cr nn 008mamaa
008			101222s2005 gw | s |||| 0|eng d
020			_a9783540320982 _9978-3-540-32098-2
024	7		_a10.1007/11585978 _2doi
050		4	_aQ337.5
050		4	_aTK7882.P3
072		7	_aUYQP _2bicssc
072		7	_aCOM016000 _2bisacsh
082	0	4	_a006.4 _223
245	1	0	_aEnergy Minimization Methods in Computer Vision and Pattern Recognition _h[electronic resource] : _b5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005. Proceedings / _cedited by Anand Rangarajan, Baba Vemuri, Alan L. Yuille.
260		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005.
300			_aXII, 666 p. Also available online. _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 Computer Science, _x0302-9743 ; _v3757
505	0		_aProbabilistic and Informational Approaches -- Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application -- A Computational Approach to Fisher Information Geometry with Applications to Image Analysis -- Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering -- Concurrent Stereo Matching: An Image Noise-Driven Model -- Color Correction of Underwater Images for Aquatic Robot Inspection -- Bayesian Image Segmentation Using Gaussian Field Priors -- Handling Missing Data in the Computation of 3D Affine Transformations -- Maximum-Likelihood Estimation of Biological Growth Variables -- Deformable-Model Based Textured Object Segmentation -- Total Variation Minimization and a Class of Binary MRF Models -- Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study -- Combinatorial Approaches -- Probabilistic Subgraph Matching Based on Convex Relaxation -- Relaxation of Hard Classification Targets for LSE Minimization -- Linear Programming Matching and Appearance-Adaptive Object Tracking -- Extraction of Layers of Similar Motion Through Combinatorial Techniques -- Object Categorization by Compositional Graphical Models -- Learning Hierarchical Shape Models from Examples -- Discontinuity Preserving Phase Unwrapping Using Graph Cuts -- Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra -- Spatio-temporal Segmentation Using Dominant Sets -- Stable Bounded Canonical Sets and Image Matching -- Coined Quantum Walks Lift the Cospectrality of Graphs and Trees -- Variational Approaches -- Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme -- Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes -- An Adaptive Variational Model for Image Decomposition -- Segmentation Informed by Manifold Learning -- One-Shot Integral Invariant Shape Priors for Variational Segmentation -- Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers -- Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach -- Constrained Total Variation Minimization and Application in Computerized Tomography -- Some New Results on Non-rigid Correspondence and Classification of Curves -- Edge Strength Functions as Shape Priors in Image Segmentation -- Spatio-temporal Prior Shape Constraint for Level Set Segmentation -- A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images -- Other Approaches and Applications -- Increasing Efficiency of SVM by Adaptively Penalizing Outliers -- Locally Linear Isometric Parameterization -- A Constrained Hybrid Optimization Algorithm for Morphable Appearance Models -- Kernel Methods for Nonlinear Discriminative Data Analysis -- Reverse-Convex Programming for Sparse Image Codes -- Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency -- Brain Image Analysis Using Spherical Splines -- High-Order Differential Geometry of Curves for Multiview Reconstruction and Matching.
650		0	_aComputer science.
650		0	_aComputer software.
650		0	_aArtificial intelligence.
650		0	_aComputer graphics.
650		0	_aComputer vision.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aPattern Recognition.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aComputer Graphics.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aComputation by Abstract Devices.
700	1		_aRangarajan, Anand. _eeditor.
700	1		_aVemuri, Baba. _eeditor.
700	1		_aYuille, Alan L. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540302872
786			_dSpringer
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v3757
856	4	0	_uhttp://dx.doi.org/10.1007/11585978
942			_2EBK3863 _cEBK
999			_c33157 _d33157