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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 9 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
ICIP
2009
IEEE
13 years 8 months ago
Total variation projection with first order schemes
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
Mohamed-Jalal Fadili, Gabriel Peyré
GLOBECOM
2010
IEEE
13 years 8 months ago
Sensor Placement for Minimum Exposure in Distributed Active Sensing Networks
Distributed active sensing is a new sensing paradigm, where active sensors and passive sensors are distributed in a field, and collaboratively detect and track the objects. "E...
Na Xia, Khuong Vu, Rong Zheng
MOR
2010
115views more  MOR 2010»
13 years 5 months ago
Directional Derivatives of Oblique Reflection Maps
Given an oblique reflection map and functions , Dlim (the space of functions that have left and right limits at every point), the directional derivative () of along , evaluate...
Avi Mandelbaum, Kavita Ramanan
ICASSP
2011
IEEE
13 years 2 months ago
Distributed LCMV beamforming in wireless sensor networks with node-specific desired signals
We consider distributed linearly constrained minimum variance (LCMV) beamforming in a wireless sensor network. Each node computes an LCMV beamformer with node-specific constraint...
Alexander Bertrand, Marc Moonen