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JMLR
2008
151views more  JMLR 2008»
15 years 6 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
DICTA
2003
15 years 8 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
PE
2010
Springer
212views Optimization» more  PE 2010»
15 years 1 months ago
Modeling TCP throughput: An elaborated large-deviations-based model and its empirical validation
In today's Internet, a large part of the traffic is carried using the TCP transport protocol. Characterization of the variations of TCP traffic is thus a major challenge, bot...
Patrick Loiseau, Paulo Gonçalves, Julien Ba...
HICSS
2007
IEEE
94views Biometrics» more  HICSS 2007»
16 years 27 days ago
Towards Model Transformation Generation By-Example
— With the advent of Model-Driven Engineering (MDE) several model transformation approaches and languages have been developed in the last 5 years. Most of these existing approach...
Manuel Wimmer, Michael Strommer, Horst Kargl, Gerh...
JITECH
2010
160views more  JITECH 2010»
15 years 1 months ago
Social software for business process modeling
Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborati...
Agnes Koschmider, Minseok Song, Hajo A. Reijers