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CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 7 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 2 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
TMM
2008
167views more  TMM 2008»
13 years 7 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
IJCNN
2006
IEEE
14 years 1 months ago
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network
— We present a novel network of oscillatory units, whose behavior is described by the amplitude and phase of oscillations. While building on previous work, the system presented i...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
NIPS
1996
13 years 9 months ago
Predicting Lifetimes in Dynamically Allocated Memory
Predictions oflifetimesofdynamicallyallocated objects can be used to improve time and space e ciency of dynamic memory management in computer programs. Barrett and Zorn 1993] used...
David A. Cohn, Satinder P. Singh