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» Reconstructing Boolean Models of Signaling
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ICIP
2009
IEEE
15 years 10 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
ICASSP
2008
IEEE
15 years 3 months ago
Camera and microphone array for 3D audiovisual face data collection
This paper proposes a novel camera/microphone array system capable of capturing dynamic facial expression video with synchronized speech and reconstructing realistic 3D face model...
Yuxiao Hu, Hao Tang, Thomas S. Huang
ICASSP
2011
IEEE
14 years 1 months ago
Joint reduce of metal and beam hardening artifacts using Multi-Energy map approach in X-ray Computed Tomography
Metal and beam-hardening artifacts are tough issues in Computed Tomography (CT) images. This paper proposes an iterative Maximum A Posteriori (MAP) reconstruction algorithm aiming...
Yuling Zheng, Caifang Cai, Thomas Rodet
ICASSP
2011
IEEE
14 years 1 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
ICASSP
2011
IEEE
14 years 1 months ago
Saturation-robust SAR image formation
The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. T...
Dennis Wei, Petros Boufounos