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Toward Category-Level Object Recognition

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Cover of 'Toward Category-Level Object Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Object Recognition in the Geometric Era: A Retrospective
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    Chapter 2 Toward Category-Level Object Recognition
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    Chapter 3 Industry and Object Recognition: Applications, Applied Research and Challenges
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    Chapter 4 What and Where: 3D Object Recognition with Accurate Pose
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    Chapter 5 Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions
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    Chapter 6 3D Object Modeling and Recognition from Photographs and Image Sequences
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    Chapter 7 Video Google: Efficient Visual Search of Videos
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    Chapter 8 Simultaneous Object Recognition and Segmentation by Image Exploration
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    Chapter 9 Comparison of Generative and Discriminative Techniques for Object Detection and Classification
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    Chapter 10 Synergistic Face Detection and Pose Estimation with Energy-Based Models
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    Chapter 11 Generic Visual Categorization Using Weak Geometry
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    Chapter 12 Components for Object Detection and Identification
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    Chapter 13 Cross Modal Disambiguation
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    Chapter 14 Translating Images to Words for Recognizing Objects in Large Image and Video Collections
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    Chapter 15 A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues
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    Chapter 16 Towards the Optimal Training of Cascades of Boosted Ensembles
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    Chapter 17 Visual Classification by a Hierarchy of Extended Fragments
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    Chapter 18 Shared Features for Multiclass Object Detection
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    Chapter 19 Generative Models for Labeling Multi-object Configurations in Images
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    Chapter 20 Object Detection and Localization Using Local and Global Features
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    Chapter 21 The Trace Model for Object Detection and Tracking
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    Chapter 22 A Discriminative Framework for Texture and Object Recognition Using Local Image Features
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    Chapter 23 A Sparse Object Category Model for Efficient Learning and Complete Recognition
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    Chapter 24 Object Recognition by Combining Appearance and Geometry
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    Chapter 25 Shape Matching and Object Recognition
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    Chapter 26 An Implicit Shape Model for Combined Object Categorization and Segmentation
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    Chapter 27 Statistical Models of Shape and Texture for Face Recognition
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    Chapter 28 Image Parsing: Unifying Segmentation, Detection, and Recognition
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    Chapter 29 Sequential Learning of Layered Models from Video
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    Chapter 30 An Object Category Specific mrf for Segmentation
Attention for Chapter 16: Towards the Optimal Training of Cascades of Boosted Ensembles
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Chapter title
Towards the Optimal Training of Cascades of Boosted Ensembles
Chapter number 16
Book title
Toward Category-Level Object Recognition
Published by
Springer, Berlin, Heidelberg, January 2006
DOI 10.1007/11957959_16
Book ISBNs
978-3-54-068794-8, 978-3-54-068795-5
Authors

S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Agricultural and Biological Sciences 1 33%