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» Learning Models for Object Recognition
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148
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ABIALS
2008
Springer
15 years 10 months ago
A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies
Anticipation and prediction have been identified as key functions of many brain areas facilitating recognition, perception, and planning. In this chapter we present a hierarchical ...
Anthony F. Morse, Robert Lowe, Tom Ziemke
111
Voted
TOG
2008
134views more  TOG 2008»
15 years 3 months ago
Computing geometry-aware handle and tunnel loops in 3D models
Many applications such as topology repair, model editing, surface parameterization, and feature recognition benefit from computing loops on surfaces that wrap around their `handle...
Tamal K. Dey, Kuiyu Li, Jian Sun, David Cohen-Stei...
192
Voted
CVPR
2012
IEEE
13 years 6 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
105
Voted
DEXA
2004
Springer
70views Database» more  DEXA 2004»
15 years 9 months ago
How to Model Visual Knowledge: A Study of Expertise in Oil-Reservoir Evaluation
This work presents a study of the nature of expertise in geology, which demands visual recognition methods to describe and interpret petroleum reservoir rocks. In an experiment usi...
Mara Abel, Laura S. Mastella, Luís A. Lima ...
ICIG
2009
IEEE
15 years 10 months ago
Discriminative Maximum Margin Image Object Categorization with Exact Inference
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurman...