Similarity-Based Pattern Analysis and Recognition

Editors:

ISBN: 978-1-4471-5627-7 (Print) 978-1-4471-5628-4 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages I-XIV

  2. No Access

    Chapter

    Pages 1-10

    Introduction: The SIMBAD Project

  3. Foundational Issues

    1. Front Matter

      Pages 11-11

    2. No Access

      Chapter

      Pages 13-44

      Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness

    3. No Access

      Chapter

      Pages 45-64

      SIMBAD: Emergence of Pattern Similarity

  4. Deriving Similarities for Non-vectorial Data

    1. Front Matter

      Pages 65-65

    2. No Access

      Chapter

      Pages 67-83

      On the Combination of Information-Theoretic Kernels with Generative Embeddings

    3. No Access

      Chapter

      Pages 85-117

      Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm

  5. Embedding and Beyond

    1. Front Matter

      Pages 119-119

    2. No Access

      Chapter

      Pages 121-155

      Geometricity and Embedding

    3. No Access

      Chapter

      Pages 157-177

      Structure Preserving Embedding of Dissimilarity Data

    4. No Access

      Chapter

      Pages 179-216

      A Game-Theoretic Approach to Pairwise Clustering and Matching

  6. Applications

    1. Front Matter

      Pages 217-217

    2. No Access

      Chapter

      Pages 219-245

      Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma

    3. No Access

      Chapter

      Pages 247-287

      Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness

  7. Back Matter

    Pages 289-291