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» Learning for control from multiple demonstrations
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COMPSAC
2001
IEEE
15 years 1 months ago
Utilizing Object-Oriented Databases for Concurrency Control in Virtual Environments
Virtual Reality Modeling Language (VRML) is widely used to represent, create, and display virtual reality objects and their environment. Some VRML applications require concurrent ...
Damla Turgut, Nevin Aydin, Ramez Elmasri, Begumhan...
CONEXT
2010
ACM
14 years 7 months ago
ICTCP: Incast Congestion Control for TCP in data center networks
TCP incast congestion happens in high-bandwidth and lowlatency networks, when multiple synchronized servers send data to a same receiver in parallel [15]. For many important data ...
Haitao Wu, Zhenqian Feng, Chuanxiong Guo, Yongguan...
NECO
2010
136views more  NECO 2010»
14 years 8 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
NN
1998
Springer
102views Neural Networks» more  NN 1998»
14 years 9 months ago
Modeling parietal-premotor interactions in primate control of grasping
Visual information is processed in the posterior parietal cortex for the hypothesized purpose of extracting a variety of affordances for the generation of motor behavior. The term...
Andrew H. Fagg, Michael A. Arbib
ICCV
2003
IEEE
15 years 11 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...