This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.

This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held in Venice, Italy, in September 2011. The 16 full papers and 7 poster papers presented were carefully reviewed and selected from 35 submissions. The contributions are organized in topical sections on dissimilarity characterization and analysis; generative models of similarity data; graph-based and relational models; clustering and dissimilarity data; applications; spectral methods and embedding.

This book constitutes the refereed proceedings of the Second International Workshop on Articulated Motion and Deformable Objects, AMDO 2002, held in Palma de Mallorca, Spain in November 2002.The 21 revised full papers presented were carefully reviewed and selected for inclusion in the book. Among the topics addressed are geometric and physical deformable objects, motion analysis, articulated models and animation, visualization of deformable models, 3D recovery from motion, single or multiple human motion analysis and synthesis, applications of deformable models and motion analysis, face tracking, recovery and recognition models.

C 2 - E C - (EC '99) , $ % & , E , % 26 29, 1999. + . + 1997. + % % - , , , , % . A % % , - , , ? % % % % . 35 % . E % % . B % - 17 % . % . + , - , , , , , . % % . F , ? % . F, % % . % % % : . C , . D ,;. D, F. F , <. < , E. = ,. = , >. . A . ? % A% % @ - >; C @ . A & % % % ?- @ - F . % B . 1999 E Program Co Chairs E . UniversityofYork,UK UniversityofVenice,Italy Program Committee B INRIA,France B UniversityofBonn,Germany F InstitutoSuperiorTecnico,Portugal D < NewYorkUniversity,USA A . MichiganStateUniversity,USA % UniversityofSurrey,UK @ . > NanyangTechnologicalUniversity,Singapore UniversityofSurrey,UK A YaleUniversity,USA @ McGillUniversity,Canada @ $ TheWeizmannInstituteofScience,Israel > UniversityofNewMexico,USA A >. & Smith KettlewellEyeResearchInstitute,USA INRIA,France @ . YaleUniversity,USA

This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997.
The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.

This book constitutes the refereed proceedings of the 13th IMA International Conference on the Mathematics of Surfaces held in York, UK in September 2009.

The papers in the present volume include seven invited papers, as well as 16 submitted papers. The topics covered include subdivision schemes and their continuity, polar patchworks, compressive algorithms for PDEs, surface invariant functions, swept volume parameterization, Willmore flow, computational conformal geometry, heat kernel embeddings, and self-organizing maps on manifolds, mesh and manifold construction, editing, flattening, morphing and interrogation, dissection of planar shapes, symmetry processing, morphable models, computation of isophotes, point membership classification and vertex blends. Surface types considered encompass polygon meshes as well as parametric and implicit surfaces.