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ICASSP
2008
IEEE
14 years 2 months ago
Compressive sensing of parameterized shapes in images
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...
ICASSP
2008
IEEE
14 years 2 months ago
Alternatives to the discrete fourier transform
It is well-known that the discrete Fourier transform (DFT) of a finite length discrete-time signal samples the discrete-time Fourier transform of the same signal at equidistant p...
Doru-Cristian Balcan, Aliaksei Sandryhaila, Jonath...
ECAI
2006
Springer
13 years 11 months ago
Smoothed Particle Filtering for Dynamic Bayesian Networks
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
Theodore Charitos
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
Background: FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confide...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim...
NIPS
2000
13 years 9 months ago
Machine Learning for Video-Based Rendering
We present techniques for rendering and animation of realistic scenes by analyzing and training on short video sequences. This work extends the new paradigm for computer animation...
Arno Schödl, Irfan A. Essa