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ICASSP
2011
IEEE
14 years 8 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
MSWIM
2004
ACM
15 years 10 months ago
Other-cell-interference factor distribution model in downlink WCDMA systems
– Interference performance is among the most important issues especially in WCDMA cellular networks planning coverage and capacity. F-factor has been introduced in previous works...
Anis Masmoudi, Sami Tabbane
ICIP
2005
IEEE
16 years 6 months ago
Parameter estimation of multi-dimensional hidden Markov models - a scalable approach
Parameter estimation is a key computational issue in all statistical image modeling techniques. In this paper, we explore a computationally efficient parameter estimation algorith...
Dhiraj Joshi, Jia Li, James Ze Wang
ICIAP
2001
Springer
16 years 5 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
IEEESCC
2007
IEEE
15 years 11 months ago
Specification of Adaptive Client-Tailored Product Models
Traditionally, product models often have a rigid nature, both with respect to the manner in which they are initially tailored to clients, and to the way they are maintained over t...
Tibor Bosse, Fiemke Both, Mark Hoogendoorn, Jan Tr...