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» Unsupervised Learning of Models for Recognition
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CVPR
2009
IEEE
16 years 5 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
76
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BC
2005
83views more  BC 2005»
14 years 10 months ago
Learning visuomotor transformations for gaze-control and grasping
For reaching to and grasping of an object, visual information about the object must be transformed into motor or postural commands for the arm and hand. In this paper, we present a...
Heiko Hoffmann, Wolfram Schenck, Ralf Möller
CVPR
2012
IEEE
13 years 7 days ago
A Unified Framework for Event Summarization and Rare Event Detection
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
Junseok Kwon and Kyoung Mu Lee
92
Voted
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 3 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
ICML
1996
IEEE
15 years 11 months ago
Passive Distance Learning for Robot Navigation
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
Sven Koenig, Reid G. Simmons