Chapter: Ch. 2. MULTI-HASH: Learning Object Attributes and Hash Tables for Fast 3-D Object Recognition

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Home > Symbolic visual learning / > Ch. 2. MULTI-HASH: Learning Object Attributes and Hash Tables for Fast 3-D Object Recognition

Symbolic visual learning / |

Ikeuchi, Katsushi.; Veloso, Manuela M.

Oxford University Press,

Ch. 2. MULTI-HASH: Learning Object Attributes and Hash Tables for Fast 3-D Object Recognition

Chapter Info

Authors

Lynne Grewe and Avi Kak

ARI Id

1675174748234_51950954

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Not Available Free

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Chapters/Headings	Author(s)	Pages	Info
Ch. 1. The Visual Learning Problem	Katsushi Ikeuchi and Manuela Veloso
Ch. 2. MULTI-HASH: Learning Object Attributes and Hash Tables for Fast 3-D Object Recognition	Lynne Grewe and Avi Kak
Ch. 3. Learning Control Strategies for Object Recognition	Bruce A. Draper
Ch. 4. PADO: A New Learning Architecture for Object Recognition	Astro Teller and Manuela Veloso
Ch. 5. Learning Organization Hierarchies of Large Model-Bases for Fast Recognition	Kim L. Boyer and Kuntal Sengupta
Ch. 6. Application of Machine Learning in Function-Based Recognition	Louise Stark, Kevin Bowyer and Kevin Woods [et al.]
Ch. 7. Learning a Visual Model and an Image Processing Strategy from a Series of Silhouette Images on MIRACLE-IV	Hitoshi Matsubara, Katsuhiko Sakaue and Kazuhiko Yamamoto
Ch. 8. Assembly Plan from Observation	Katsushi Ikeuchi, Takashi Suehiro and Sing Bing Kang
Ch. 9. Visual Event Perception	Jeffrey Mark Siskind
Ch. 10. A Knowledge Framework for Seeing and Learning	Paul R. Cooper and Matthew A. Brand
Ch. 11. Explanation-Based Learning for Mobile-Robot Perception	Joseph O'Sullivan, Tom M. Mitchell and Sebastian Thrun
Ch. 12. Navigating with Landmarks: Computing Goal Locations from Place Codes	A. David Redish and David S. Touretzky.
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