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SIAMIS
2010
129views more  SIAMIS 2010»
13 years 2 months ago
Compressed Remote Sensing of Sparse Objects
Abstract. The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity ...
Albert Fannjiang, Thomas Strohmer, Pengchong Yan
NIPS
2003
13 years 9 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
ACMDIS
2010
ACM
13 years 7 months ago
A tale of two publics: democratizing design at the margins
The design and use of Information and Communication Technology (ICT) has now evolved beyond its workplace origins to the wider public, expanding to people who live at the margins ...
Christopher A. Le Dantec, Jim Christensen, Mark Ba...
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
CVPR
2009
IEEE
15 years 2 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori