Blick ins Buch

Similarity-Based Pattern Recognition

Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013, Proceedings

Edwin Hancock, Marcello Pelillo (Herausgeber)

Buch | Softcover

X, 297 Seiten

2013 | 2013
Springer Berlin (Verlag)
978-3-642-39139-2 (ISBN)

Lese- und Medienproben

Inhaltsverzeichnis (PDF)
Blick ins Buch (midvox)

Artikel merken

This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013.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
Reihe/Serie	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