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» Structured Sparsity in Structured Prediction
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TSMC
2010
13 years 2 months ago
Uncertainty Evaluation Through Mapping Identification in Intensive Dynamic Simulations
We study how the dependence of a simulation output on an uncertain parameter can be determined, when simulations are computationally expensive and so can only be run for very few p...
Yan Wan, Sandip Roy, Bernard C. Lesieutre
TSP
2010
13 years 2 months ago
MIMO radar waveform design via alternating projection
Abstract--Waveform design is essential to unleash the performance advantages promised by multiple-input multiple-output (MIMO) radar, and this topic has attracted a lot of attentio...
Yang Yang, Rick S. Blum, Zishu He, Daniel R. Fuhrm...
CVPR
2011
IEEE
12 years 12 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
ICASSP
2011
IEEE
12 years 12 months ago
Error detection scheme based on fragile watermarking for H.264/AVC
Compressed video bitstreams are very sensitive to transmission errors. If we lose packets or receive them with errors during transmission, not only the current frame will be corru...
Man-Geun Ko, Jae-Won Suh, Jang-Eui Hong
ICASSP
2011
IEEE
12 years 12 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...