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ICIP
2001
IEEE
16 years 8 months ago
Bayesian high-resolution reconstruction of low-resolution compressed video
A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm in...
Rafael Molina, Aggelos K. Katsaggelos, Javier Mate...
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 6 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
ICASSP
2009
IEEE
16 years 1 months ago
Field inversion by consensus and compressed sensing
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...
Aurora Schmidt, José M. F. Moura
MOBILWARE
2009
ACM
16 years 26 days ago
Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nas...
ICASSP
2008
IEEE
16 years 24 days ago
Matrix-based linear predictive compression of multi-channel surface emg signals
We propose a linear predictive coding technique for multichannel electromyographic (EMG) recordings. The signals are acquired using two-dimensional grid of electrodes which genera...
Elias S. G. Carotti, Juan Carlos De Martin, Robert...