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Similarity-based pattern recognition[electronic resource] :third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015 : proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.4
書名/作者:	Similarity-based pattern recognition : third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015 : proceedings // edited by Aasa Feragen, Marcello Pelillo, Marco Loog.
其他題名:	SIMBAD 2015
其他作者:	Feragen, Aasa.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	viii, 229 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Pattern recognition systems
標題:	Computer science.
標題:	Algorithms.
標題:	Database management.
標題:	Artificial intelligence.
標題:	Image processing.
標題:	Pattern perception.
標題:	Pattern Recognition.
標題:	Image Processing and Computer Vision.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Algorithm Analysis and Problem Complexity.
標題:	Information Systems Applications (incl. Internet)
ISBN:	9783319242613
ISBN:	9783319242606
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-24261-3

Similarity-based pattern recognition[electronic resource] :third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015 : proceedings /
Similarity-based pattern recognitionthird International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015 : proceedings /[electronic resource] :SIMBAD 2015edited by Aasa Feragen, Marcello Pelillo, Marco Loog. - Cham :Springer International Publishing :2015. - viii, 229 p. :ill., digital ;24 cm. - Lecture notes in computer science,93700302-9743 ;. - Lecture notes in computer science ;7103..

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.

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.

ISBN: 9783319242613

Standard No.: 10.1007/978-3-319-24261-3doiSubjects--Topical Terms:

135230
Pattern recognition systems

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Similarity-based pattern recognition[electronic resource] :third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015 : proceedings /
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