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ICIP
2001
IEEE
16 years 9 months ago
On the estimation of spectral data: a genetic algorithm approach
Spectral data estimation from image data is an ill-posed problem since (i) due to the integral nature of solid-state light sensors the same output can be obtained from an infinity...
Amâncio Santos, António Dourado, Bern...
ICML
2008
IEEE
16 years 8 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
ICML
2004
IEEE
16 years 8 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
RECOMB
2009
Springer
16 years 8 months ago
Lifting Prediction to Alignment of RNA Pseudoknots
Prediction and alignment of RNA pseudoknot structures are NP-hard. Nevertheless, several efficient prediction algorithms by dynamic programming have been proposed for restricted cl...
Mathias Möhl, Rolf Backofen, Sebastian Will
DCC
2009
IEEE
16 years 8 months ago
The Posterior Matching Feedback Scheme for Joint Source-Channel Coding with Bandwidth Expansion
When transmitting a Gaussian source over an AWGN channel with an input power constraint and a quadratic distortion measure, it is well known that optimal performance can be obtain...
Ofer Shayevitz, Meir Feder