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» Auto-context and its application to high-level vision tasks
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PAMI
2010
417views more  PAMI 2010»
13 years 9 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
SECON
2007
IEEE
14 years 5 months ago
High-Level Application Development is Realistic for Wireless Sensor Networks
—Programming Wireless Sensor Network (WSN) applications is known to be a difficult task. Part of the problem is that the resource limitations of typical WSN nodes force programm...
Marcin Karpinski, Vinny Cahill
CVPR
2003
IEEE
15 years 23 days ago
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars...
David Minnen, Irfan A. Essa, Thad Starner
CVPR
2006
IEEE
15 years 23 days ago
The Design of High-Level Features for Photo Quality Assessment
1 We propose a principled method for designing high level features for photo quality assessment. Our resulting system can classify between high quality professional photos and low...
Yan Ke, Xiaoou Tang, Feng Jing
ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
14 years 2 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada