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» Approximate algorithms for neural-Bayesian approaches
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CAGD
2005
116views more  CAGD 2005»
14 years 9 months ago
A sharpness dependent filter for mesh smoothing
In this paper, we propose a sharpness dependent filter design based on the fairing of surface normal, whereby the filtering algorithm automatically selects a filter. This may be a...
Chun-Yen Chen, Kuo-Young Cheng
CAGD
2005
93views more  CAGD 2005»
14 years 9 months ago
Simple local interpolation of surfaces using normal vectors
A simple algorithm for surface interpolation is proposed. Its central idea is quadratic interpolation of a curved segment from the position and normal vectors at the end points, w...
Takashi Nagata
TSP
2008
143views more  TSP 2008»
14 years 9 months ago
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar
Sparse signal representations and approximations from overcomplete dictionaries have become an invaluable tool recently. In this paper, we develop a new, heuristic, graph-structure...
Kush R. Varshney, Müjdat Çetin, John W...
TIP
2011
170views more  TIP 2011»
14 years 4 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
IGARSS
2010
14 years 4 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy