Similarity-Based Pattern Recognition
Springer Berlin (Verlag)
978-3-642-39139-2 (ISBN)
The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.
Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review.- Dimension Reduction Methods for Image Pattern Recognition.- Efficient Regression in Metric Spaces via Approximate Lipschitz Extension.- Data Analysis of (Non-)Metric Proximities at Linear Costs.- On the Informativeness of Asymmetric Dissimilarities.- Information-Theoretic Dissimilarities for Graphs.- Information Theoretic Pairwise Clustering.- Correlation Clustering with Stochastic Labellings.- Break and Conquer: Efficient Correlation Clustering for Image Segmentation.- Multi-task Averaging via Task Clustering.- Modeling and Detecting Community Hierarchies.- Graph Characterization Using Gaussian Wave Packet Signature.- Analysis of the Schrödinger Operator in the Context of Graph Characterization.- Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence.- Entropy and Heterogeneity Measures for Directed Graphs.- Fast Learning of Gamma Mixture Models with k-MLE.- Exploiting Geometry in Counting Grids.- On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-cryptographic Systems.- A Repeated Local Search Algorithm for BiClustering of Gene Expression Data.
| Erscheint lt. Verlag | 19.7.2013 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | X, 297 p. 90 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 474 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Algorithm analysis and problem complexity • bio-cryptography • generative models • graph theory • Mustererkennung • quantum walks • Structural Complexity |
| ISBN-10 | 3-642-39139-7 / 3642391397 |
| ISBN-13 | 978-3-642-39139-2 / 9783642391392 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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