Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings / edited by Aasa Feragen, Marcello Pelillo, Marco Loog.

Format:

Book

Contributor:

Feragen, Aasa, editor.

Pelillo, Marcello, editor.

Loog, Marco, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 9370.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 9370

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Artificial intelligence.

Database management.

Algorithms.

Application software.

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Database Management.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Database Management.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (VIII, 229 pages) : 78 illustrations.

Edition:

First edition 2015.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015. The 15 full and 8 short papers presented were carefully reviewed and selected from 30 submissions.The workshop focus on problems, techniques, applications, and perspectives: from supervised to unsupervised learning, from generative to discriminative models, and from theoretical issues to empirical validations.

Contents:

A Novel Data Representation based on a Second-Order Dissimilarity Measure

Characterizing Multiple Instance Datasets

Supervised learning of diffiusion distance to improve histogram matching

Similarity Analysis from Limiting Quantum Walks

Introducing Negative Evidence in Ensemble Clustering

Dissimilarity representations for low-resolution face recognition

Deep metric learning using Triplet network

Cluster Merging Based on Dominant Sets

An Adaptive Radial Basis Function Kernel for Support Vector Data Description

Robust initialization for learning Latent Dirichlet Allocation

Unsupervised Motion Segmentation Using Metric Embedding of Features

Transitive Assignment Kernels for Structural Classification

Large scale Indefinite Kernel Fisher Discriminant

Similarity-based User Identification across Social Networks

Dominant-Set Clustering Using Multiple Affinity Matrices

Distance-Based Network Recovery under Feature Correlation

Discovery of salient low-dimensional dynamical structure using Hopfield Networks

On Geodesic Exponential Kernels

A Matrix Factorization Approach to Graph Compression

A Geometrical Approach to Find Corresponding Patches in 3D Medical Surfaces

Similarities, SDEs, and Most Probable Paths

Can the optimum similarity matrix be selected before clustering for graph-based approaches?

Approximate spectral clustering with utilized similarity information fusing geodesic based hybrid distance measures.

Other Format:

Printed edition:

ISBN:

978-3-319-24261-3

9783319242613

Access Restriction:

Restricted for use by site license.