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ICCL
1998
IEEE
13 years 9 months ago
Loop Optimization for Aggregate Array Computations
An aggregate array computation is a loop that computes accumulated quantities over array elements. Such computations are common in programs that use arrays, and the array elements...
Yanhong A. Liu, Scott D. Stoller
TSP
2010
12 years 12 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 4 months ago
Polynomial Filtering for Fast Convergence in Distributed Consensus
Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
Effrosini Kokiopoulou, Pascal Frossard
PAMI
2010
184views more  PAMI 2010»
13 years 3 months ago
Accurate Image Search Using the Contextual Dissimilarity Measure
— This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-offeatures based image search. Our measure takes into account the l...
Herve Jegou, Cordelia Schmid, Hedi Harzallah, Jako...
ATAL
2007
Springer
13 years 11 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone