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» Density Estimation in Linear Time
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NN
2006
Springer
13 years 8 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
NIPS
2003
13 years 10 months ago
Gene Expression Clustering with Functional Mixture Models
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
Darya Chudova, Christopher E. Hart, Eric Mjolsness...
ICCV
2003
IEEE
14 years 10 months ago
Adaptive Dynamic Range Imaging: Optical Control of Pixel Exposures Over Space and Time
This paper presents a new approach to imaging that significantly enhances the dynamic range of a camera. The key idea is to adapt the exposure of each pixel on the image detector,...
Shree K. Nayar, Vlad Branzoi
INFORMATICALT
2000
159views more  INFORMATICALT 2000»
13 years 8 months ago
The Calculation of Electrotonic Potential Half-Time and its Derivative in Respect to Distance in One- and Two-Dimensional RC Med
In this work the analytical expressions of half-time T1/2 and its derivatives in respect to distance T1/2/R in a one-dimensional RC medium (a current electrode has a shape of the s...
Romualdas Veteikis
TSP
2010
13 years 3 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani