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CASES
2006
ACM
16 years 15 days ago
Scalable subgraph mapping for acyclic computation accelerators
Computer architects are constantly faced with the need to improve performance and increase the efficiency of computation in their designs. To this end, it is increasingly common ...
Nathan Clark, Amir Hormati, Scott A. Mahlke, Sami ...
ISER
2000
Springer
84views Robotics» more  ISER 2000»
15 years 10 months ago
Using Modular Self-Reconfiguring Robots for Locomotion
: We discuss the applications of modular self-reconfigurable robots to navigation. We show that greedy algorithms are complete for motion planning over a class of modular reconfigu...
Keith Kotay, Daniela Rus, Marsette Vona
CORR
2010
Springer
125views Education» more  CORR 2010»
15 years 6 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray
STOC
2007
ACM
94views Algorithms» more  STOC 2007»
16 years 6 months ago
Sampling-based dimension reduction for subspace approximation
We give a randomized bi-criteria algorithm for the problem of finding a k-dimensional subspace that minimizes the Lp-error for given points, i.e., p-th root of the sum of p-th
Amit Deshpande, Kasturi R. Varadarajan
BMCBI
2008
122views more  BMCBI 2008»
15 years 6 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang