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CASES
2004
ACM
15 years 11 months ago
Translating affine nested-loop programs to process networks
New heterogeneous multiprocessor platforms are emerging that are typically composed of loosely coupled components that exchange data using programmable interconnections. The compon...
Alexandru Turjan, Bart Kienhuis, Ed F. Deprettere
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 6 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
JSAC
2010
194views more  JSAC 2010»
15 years 5 months ago
Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of
Abstract—Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. Such platforms use inertial information of their...
Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas...
214
Voted
CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 11 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
ICML
2008
IEEE
16 years 8 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...