Advances in Pattern Recognition
Springer Berlin (Verlag)
978-3-540-64858-1 (ISBN)
The book presents 107 revised full papers selected from 134 submissions. Also included are six invited presentations. The papers are organized in topical sections on structural matching and grammatical inference, recognition of 2D and 3D objects, document image analysis and recognition, handwritten character recognition, shape representation and image segmentation, learning methodologies, feature selection and extraction, statistical classification techniques, statistical pattern recognition, and rejection in pattern recognition.
Error-tolerant graph matching: A formal framework and algorithms.- Semantic content based image retrieval using object-process diagrams.- Pattern recognition methods in image and video databases: Past, present and future.- Efficient matching with invariant local descriptors.- Torah codes: New experimental protocols.- Integrating numerical and syntactic learning models for pattern recognition.- Synthesis of function-described graphs.- Marked subgraph isomorphism of ordered graphs.- Distance evaluation in pattern matching based on frontier topological graph.- Syntactic interpolation of fractal sequences.- Minimizing the topological structure of line images.- Genetic algorithms for structural editing.- The noisy subsequence tree recognition problem.- The path-connectedness in Z 2 and Z 3 and classical topologies.- Object recognition from large structural libraries.- Acquisition of 2-D shape models from scenes with overlapping objects using string matching.- A taxonomy of occlusion in viewsignature II representations: A regular language for the representation of 3-D rigid solid objects.- Skeletonizing volume objects part II: From surface to curve skeleton.- A survey of non-thinning based vectorization methods.- A benchmark for Raster to vector conversion systems.- Network-based recognition of architectural symbols.- Recovering image structure by model-based interaction map.- An improved scheme to fingerprint classification.- Character recognition with k-head finite array automata.- Using semantics in matching cursive Chinese handwritten annotations.- Concavity detection using a binary mask-based approach.- Structural indexing of line pictures with feature generation models.- Nonlinear covariance for multi-band image data.- A neural network for image smooothing and segmentation.- Prototyping structural descriptions: An inductive learning approach.- Neural network based learning of local compatibilities for segment grouping.- Constrained attribute grammars for recognition of multi-dimensional objects.- Object recognition using sequential images and application to active vision.- Recognizing partially visible 2-D non-rigid wire-shapes.- XFF: A simple method to extract fractal features for 2D object recognition.- Tracking of rotating objects.- Efficient implementation of regulated morphological operations based on directional interval coding.- Clique-to-clique distance computation using a specific architecture.- Algebraic view of grammatical inference.- Remarks on the notation of coordinate grammars.- A structural classifier to automatically identify form classes.- Towards efficient structural analysis of mathematical expressions.- The topological consistence of path connectedness in regular and irregular structures.- Content-based image indexing and retrieval: A syntactical approach.- Knowledge-based recognition of crosshatched areas in engineering drawings.- Information extraction from document images using white space and graphics analysis.- Multi-interval discretization methods for decision tree learning.- Handwritten digit recognition through inferring graph grammars. A first appproach.- Optical character recognition: Neural network analysis of hand-printed characters.- Structural boundary feature extraction for printed character recognition.- Locating segmentation regions of connected handwritten digits.- Recognition on handwritten digits based on their topological and morphological properties.- Perceptual features for off-line handwritten word recognition: A framework for heuristic prediction, representation and matching.- On structural modelling for omnifont and handwritten character recognition.- Image segmentation by label anisotropic diffusion.- Classifier-independent feature selection for two-stage feature selection.- Feature selection for a nonlinear classifier.- Regularization by adding redundant features.- Feature selection expert - User oriented approach.- Structures of the covariance matrices in the classifier design.
| Erscheint lt. Verlag | 29.7.1998 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XLIV, 1050 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1326 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | 3D • algorithms • classification • cluster analysis • computer vision • Data Analysis • fuzzy • Genetic algorithms • Graphics Recognition • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Image Analysis • Image Ananalysis • Mustererkennung • Object recognition • pattern recognition • Semantics • Textur |
| ISBN-10 | 3-540-64858-5 / 3540648585 |
| ISBN-13 | 978-3-540-64858-1 / 9783540648581 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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