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» Robustness of the Learning with Errors Assumption
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ICASSP
2009
IEEE
15 years 6 months ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
3DPVT
2004
IEEE
166views Visualization» more  3DPVT 2004»
15 years 3 months ago
Multi-Camera Reconstruction based on Surface Normal Estimation and Best Viewpoint Selection
In this paper, we present a new algorithm for reconstructing an environment from images recorded by multiple calibrated cameras. Multiple camera systems challenge traditional ster...
Xenophon Zabulis, Kostas Daniilidis
NIPS
2001
15 years 1 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura
TSMC
2008
148views more  TSMC 2008»
14 years 11 months ago
Stratification Approach for 3-D Euclidean Reconstruction of Nonrigid Objects From Uncalibrated Image Sequences
Abstract--This paper addresses the problem of 3-D reconstruction of nonrigid objects from uncalibrated image sequences. Under the assumption of affine camera and that the nonrigid ...
Guanghui Wang, Q. M. Jonathan Wu
102
Voted
ICIP
2010
IEEE
14 years 9 months ago
Shape from shading for hybrid surfaces as applied to tooth reconstruction
Accurate 3-D modeling of the human teeth helps patients avoid the discomfort of the mold process, and improves the data accuracy for oral surgeons, orthodontists and dental care p...
Cambron N. Carter, Rosario J. Pusateri, Dongqing C...