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SIBGRAPI
2008
IEEE
14 years 2 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
CORR
2011
Springer
153views Education» more  CORR 2011»
13 years 3 months ago
Partially Linear Bayesian Estimation with Application to Sparse Approximations
—We address the problem of estimating a random vector X from two sets of measurements Y and Z, such that the estimator is linear in Y . We show that the partially linear minimum ...
Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar
ISTCS
1997
Springer
13 years 11 months ago
Learning with Queries Corrupted by Classification Noise
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
Jeffrey C. Jackson, Eli Shamir, Clara Shwartzman
PCM
2010
Springer
183views Multimedia» more  PCM 2010»
13 years 6 months ago
Fast H.264 Encoding Based on Statistical Learning
Abstract. In this paper, we propose an efficient video coding system that applies statistical learning methods to reduce the computational cost in H.264 encoder. The proposed metho...
Chen-Kuo Chiang, Shang-Hong Lai
SLIP
2009
ACM
14 years 2 months ago
Floorplan-based FPGA interconnect power estimation in DSP circuits
A novel high-level approach for estimating power consumption of global interconnects in data-path oriented designs implemented in FPGAs is presented. The methodology is applied to...
Ruzica Jevtic, Carlos Carreras, Vukasin Pejovic