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ALGOSENSORS
2010
Springer
14 years 8 months ago
MSDR-D Network Localization Algorithm
Abstract. We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. T...
Kevin Coogan, Varun Khare, Stephen G. Kobourov, Ba...
ICML
2009
IEEE
15 years 10 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
INFOCOM
2009
IEEE
15 years 4 months ago
Robust Counting Via Counter Braids: An Error-Resilient Network Measurement Architecture
—A novel counter architecture, called Counter Braids, has recently been proposed for accurate per-flow measurement on high-speed links. Inspired by sparse random graph codes, Co...
Yi Lu, Balaji Prabhakar

Book
519views
16 years 8 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
ECOOPW
1998
Springer
15 years 1 months ago
The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra
Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
Jeremy G. Siek, Andrew Lumsdaine