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EMNLP
2009
13 years 6 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
ICRA
2009
IEEE
156views Robotics» more  ICRA 2009»
13 years 5 months ago
An explorative study of visual servo control with insect-inspired Reichardt-model
In this paper, an insect-inspired motion detector (Reichardt-model) is applied to visual servo control to ensure the stability of the system with high gain and time delay in its fe...
Haiyan Wu, Tianguang Zhang, Alexander Borst, Kolja...
CORR
2011
Springer
176views Education» more  CORR 2011»
13 years 3 months ago
Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies
—Cloud providers, like Amazon, offer their data centers’ computational and storage capacities for lease to paying customers. High electricity consumption, associated with runni...
Michele Mazzucco, Dmytro Dyachuk, Ralph Deters
ICIP
2003
IEEE
14 years 9 months ago
Rate-distortion optimized video streaming with multiple deadlines
We extend a recently-proposed framework for the rate-distortion optimized transmission of packetized media. The original framework assumed that media packets each have a single arr...
Mark Kalman, Prashant Ramanathan, Bernd Girod
CEC
2008
IEEE
14 years 2 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...