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JMLR
2012
13 years 2 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
ALGOSENSORS
2006
Springer
15 years 3 months ago
Area Based Beaconless Reliable Broadcasting in Sensor Networks
: We consider the broadcasting problem in sensor networks where the nodes have no prior knowledge of their neighbourhood. We describe several Area-based Beaconless Broadcasting Alg...
Francisco Javier Ovalle-Martínez, Amiya Nay...
ECCV
2008
Springer
16 years 1 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICA
2010
Springer
15 years 21 days ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
CPM
2000
Springer
177views Combinatorics» more  CPM 2000»
15 years 4 months ago
Identifying and Filtering Near-Duplicate Documents
Abstract. The mathematical concept of document resemblance captures well the informal notion of syntactic similarity. The resemblance can be estimated using a fixed size “sketch...
Andrei Z. Broder