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» Learning Models for Object Recognition
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98
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ACIVS
2008
Springer
15 years 10 months ago
Foliage Recognition Based on Local Edge Information
In many real-world object recognition applications, texture plays a very important role. Much research has gone into texture-based segmentation methods, which focus on finding the...
David Van Hamme, Peter Veelaert, Wilfried Philips,...
136
Voted
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
15 years 7 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
CVPR
2005
IEEE
16 years 5 months ago
Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors
We present a novel approach for fast object class recognition incorporating contextual information into boosting. The object is represented as a constellation of generalized corre...
Jaume Amores, Nicu Sebe, Petia Radeva
147
Voted
ATAL
2007
Springer
15 years 9 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
AIR
1998
160views more  AIR 1998»
15 years 3 months ago
Automatic Plankton Image Recognition
Plankton form the base of the food chain in the ocean and are fundamental to marine ecosystem dynamics. The rapid mapping of plankton abundance together with taxonomic and size com...
Xiaoou Tang, W. Kenneth Stewart, He Huang, Scott M...