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ICCV
1999
IEEE
15 years 2 months ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni
ICASSP
2011
IEEE
14 years 1 months ago
Sparse non-negative decomposition of speech power spectra for formant tracking
Many works on speech processing have dealt with auto-regressive (AR) models for spectral envelope and formant frequency estimation, mostly focusing on the estimation of the AR par...
Jean-Louis Durrieu, Jean-Philippe Thiran
EJASP
2010
234views more  EJASP 2010»
14 years 4 months ago
Iterative Sparse Channel Estimation and Decoding for Underwater MIMO-OFDM
In this paper we propose a block-by-block iterative receiver for underwater MIMO-OFDM that couples channel estimation with MIMO detection and channel decoding. In particular, the c...
Jie Huang, Jianzhong Huang, Christian R. Berger, S...
MA
2011
Springer
285views Communications» more  MA 2011»
14 years 4 months ago
Dual divergence estimators and tests: Robustness results
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...
Aida Toma, Michel Broniatowski
TIP
2010
141views more  TIP 2010»
14 years 4 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina