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» A general algorithm for data dependence analysis
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PODS
2006
ACM
122views Database» more  PODS 2006»
16 years 2 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
126
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NECO
2007
150views more  NECO 2007»
15 years 2 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 2 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
139
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GEOINFO
2003
15 years 4 months ago
Modelling Spatial Relations by Generalized Proximity Matrices
One of the main challenges for the development of spatial information theory is the formalization of the concepts of space and spatial relations. Currently, most spatial data struc...
Ana Paula Dutra de Aguiar, Gilberto Câmara, ...
165
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TROB
2010
176views more  TROB 2010»
14 years 9 months ago
Modeling Deformations of General Parametric Shells Grasped by a Robot Hand
The robot hand applying force on a deformable object will result in a changing wrench space due to the varying shape and normal of the contact area. Design and analysis of a manipu...
Jiang Tian, Yan-Bin Jia