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ICA
2007
Springer
14 years 4 months ago
Compressed Sensing and Source Separation
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Thomas Blumensath, Mike E. Davies
COLT
2008
Springer
13 years 11 months ago
The True Sample Complexity of Active Learning
We describe and explore a new perspective on the sample complexity of active learning. In many situations where it was generally believed that active learning does not help, we sh...
Maria-Florina Balcan, Steve Hanneke, Jennifer Wort...
ICIP
2006
IEEE
14 years 11 months ago
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples
Recently, new sampling schemes were presented for signals with finite rate of innovation (FRI) using sampling kernels reproducing polynomials or exponentials [1] [2]. In this pape...
Loïc Baboulaz, Pier Luigi Dragotti
IFIP12
2008
13 years 11 months ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
AAAI
2000
13 years 11 months ago
Sampling Methods for Action Selection in Influence Diagrams
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
Luis E. Ortiz, Leslie Pack Kaelbling