Visual pattern discovery and recognition. ([2017])
- Record Type:
- Book
- Title:
- Visual pattern discovery and recognition. ([2017])
- Main Title:
- Visual pattern discovery and recognition
- Further Information:
- Note: Hongxing Wang, Chaoqun Weng, Junsong Yuan.
- Authors:
- Wang, Hongxing
Weng, Chaoqun
Yuan, Junsong - Contents:
- Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Overview; 1.2 Discovering Spatial Co-occurrence Patterns; 1.3 Discovering Feature Co-occurrence Patterns; 1.4 Outline of the Book; References; 2 Context-Aware Discovery of Visual Co-occurrence Patterns; 2.1 Introduction; 2.2 Multi-context-aware Clustering; 2.2.1 Regularized k-means Formulation with Multiple Contexts; 2.2.2 Self-learning Optimization; 2.3 Experiments; 2.3.1 Spatial Visual Pattern Discovery; 2.3.2 Image Region Clustering Using Multiple Contexts; 2.4 Summary of this Chapter; References. 3 Hierarchical Sparse Coding for Visual Co-occurrence Discovery3.1 Introduction; 3.2 Spatial Context-Aware Multi-feature Sparse Coding; 3.2.1 Learning Spatial Context-Aware Visual Phrases; 3.2.2 Learning Multi-feature Fused Visual Phrases; 3.3 Experiments; 3.3.1 Spatial Visual Pattern Discovery; 3.3.2 Scene Clustering; 3.3.3 Scene Categorization; 3.4 Summary of this Chapter; References; 4 Feature Co-occurrence for Visual Labeling; 4.1 Introduction; 4.2 Multi-feature Collaboration for Transductive Learning; 4.2.1 Spectral Embedding of Multi-feature Data. 4.2.2 Embedding Co-occurrence for Data Representation4.2.3 Transductive Learning with Feature Co-occurrence Patterns; 4.2.4 Collaboration Between Pattern Discovery and Label Propagation; 4.3 Experiments; 4.3.1 Experimental Setting; 4.3.2 Label Propagation on Synthetic Data; 4.3.3 Digit Recognition; 4.3.4 Object Recognition; 4.3.5 Body Motion Recognition; 4.3.6 ScenePreface; Acknowledgements; Contents; 1 Introduction; 1.1 Overview; 1.2 Discovering Spatial Co-occurrence Patterns; 1.3 Discovering Feature Co-occurrence Patterns; 1.4 Outline of the Book; References; 2 Context-Aware Discovery of Visual Co-occurrence Patterns; 2.1 Introduction; 2.2 Multi-context-aware Clustering; 2.2.1 Regularized k-means Formulation with Multiple Contexts; 2.2.2 Self-learning Optimization; 2.3 Experiments; 2.3.1 Spatial Visual Pattern Discovery; 2.3.2 Image Region Clustering Using Multiple Contexts; 2.4 Summary of this Chapter; References. 3 Hierarchical Sparse Coding for Visual Co-occurrence Discovery3.1 Introduction; 3.2 Spatial Context-Aware Multi-feature Sparse Coding; 3.2.1 Learning Spatial Context-Aware Visual Phrases; 3.2.2 Learning Multi-feature Fused Visual Phrases; 3.3 Experiments; 3.3.1 Spatial Visual Pattern Discovery; 3.3.2 Scene Clustering; 3.3.3 Scene Categorization; 3.4 Summary of this Chapter; References; 4 Feature Co-occurrence for Visual Labeling; 4.1 Introduction; 4.2 Multi-feature Collaboration for Transductive Learning; 4.2.1 Spectral Embedding of Multi-feature Data. 4.2.2 Embedding Co-occurrence for Data Representation4.2.3 Transductive Learning with Feature Co-occurrence Patterns; 4.2.4 Collaboration Between Pattern Discovery and Label Propagation; 4.3 Experiments; 4.3.1 Experimental Setting; 4.3.2 Label Propagation on Synthetic Data; 4.3.3 Digit Recognition; 4.3.4 Object Recognition; 4.3.5 Body Motion Recognition; 4.3.6 Scene Recognition; 4.4 Summary of this Chapter; References; 5 Visual Clustering with Minimax Feature Fusion; 5.1 Introduction; 5.2 Minimax Optimization for Multi-feature Spectral Clustering. 5.2.1 Spectral Embedding for Regularized Data-Cluster Similarity Matrix5.2.2 Minimax Fusion; 5.2.3 Minimax Optimization; 5.3 Experiments; 5.3.1 Datasets and Experimental Setting; 5.3.2 Baseline Algorithms; 5.3.3 Evaluation Metrics; 5.3.4 Experimental Results; 5.3.5 Convergence Analysis; 5.3.6 Sensitivity of Parameters; 5.4 Summary of this Chapter; References; 6 Conclusion; References. … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2017
- Copyright Date:
- 2017
- Extent:
- 1 online resource, color illustrations
- Subjects:
- 006.3
Pattern recognition systems
Computer vision
COMPUTERS -- General
Computer vision
Pattern recognition systems
Computer Science
Pattern Recognition
Image Processing and Computer Vision
Data Mining and Knowledge Discovery
Electronic books - Languages:
- English
- ISBNs:
- 9789811048401
9811048401
9811048398
9789811048395 - Related ISBNs:
- 9789811048395
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed June 20, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.406070
- Ingest File:
- 02_478.xml