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» Kernel Andorra Prolog and its Computation Model
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TIP
2010
141views more  TIP 2010»
13 years 2 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
GLOBECOM
2008
IEEE
14 years 1 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
CIMAGING
2009
184views Hardware» more  CIMAGING 2009»
13 years 8 months ago
Fast space-varying convolution and its application in stray light reduction
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...
Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan ...
JMLR
2010
147views more  JMLR 2010»
13 years 2 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
EUROPAR
2008
Springer
13 years 9 months ago
Meta-programming Applied to Automatic SMP Parallelization of Linear Algebra Code
We describe a software solution to the problem of automatic parallelization of linear algebra code on multi-processor and multi-core architectures. This solution relies on the defi...
Joel Falcou, Jocelyn Sérot, Lucien Pech, Je...