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» Newton's method and its use in optimization
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NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
ISBI
2004
IEEE
14 years 8 months ago
Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media
We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasimaximum likelihood blind deconvolution approach based on the fas...
Michael M. Bronstein, Alexander M. Bronstein, Yeho...
ICIP
2010
IEEE
13 years 5 months ago
Poisson NL means: Unsupervised non local means for Poisson noise
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
Charles-Alban Deledalle, Florence Tupin, Loïc...
TAPIA
2005
ACM
14 years 1 months ago
On a global optimization technique for solving a nonlinear hyperboloid least squares problem
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...
Leticia Velázquez, Miguel Argáez, Br...
DAC
1995
ACM
13 years 11 months ago
A Method for Finding Good Ashenhurst Decompositions and Its Application to FPGA Synthesis
—In this paper, we present an algorithm for finding a good Ashenhurst decomposition of a switching function. Most current methods for performing this type of decomposition are ba...
Ted Stanion, Carl Sechen