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SENSYS
2004
ACM
14 years 2 months ago
Medians and beyond: new aggregation techniques for sensor networks
Wireless sensor networks offer the potential to span and monitor large geographical areas inexpensively. Sensors, however, have significant power constraint (battery life), makin...
Nisheeth Shrivastava, Chiranjeeb Buragohain, Divya...
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
13 years 10 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
NIPS
2007
13 years 10 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
JMLR
2008
150views more  JMLR 2008»
13 years 8 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
AAIM
2007
Springer
120views Algorithms» more  AAIM 2007»
14 years 19 days ago
Online OVSF Code Assignment with Resource Augmentation
Abstract. Orthogonal Variable Spreading Factor (OVSF) code assignment is a fundamental problem in Wideband Code-Division MultipleAccess (W-CDMA) systems, which play an important ro...
Francis Y. L. Chin, Yong Zhang, Hong Zhu