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» Mixtures of Gaussian Processes
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167
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ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 2 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
144
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INFORMATICALT
2010
122views more  INFORMATICALT 2010»
15 years 2 months ago
On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
Rimantas Pupeikis
137
Voted
GLOBECOM
2010
IEEE
15 years 1 months ago
Automatic Gain Control for ADC-Limited Communication
As the date rates and bandwidths of communication systems scale up, the cost and power consumption of highprecision (e.g., 8-12 bits) analog-to-digital converters (ADCs) become pro...
Feifei Sun, Jaspreet Singh, Upamanyu Madhow
191
Voted
ICCV
2009
IEEE
15 years 1 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
209
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VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 10 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...