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» On Computing Functions with Uncertainty
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SIAMJO
2008
212views more  SIAMJO 2008»
15 years 6 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
AI
2002
Springer
15 years 6 months ago
QUANTUM: A Function-Based Question Answering System
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
Luc Plamondon, Leila Kosseim
IJON
2002
98views more  IJON 2002»
15 years 6 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
IPL
2002
90views more  IPL 2002»
15 years 6 months ago
Recognition and dualization of disguised bidual Horn functions
We consider the problem of dualizing a Boolean function f given by CNF, i.e., computing a CNF for its dual fd . While this problem is not solvable in quasi-polynomial total time i...
Thomas Eiter, Toshihide Ibaraki, Kazuhisa Makino
FUIN
1998
135views more  FUIN 1998»
15 years 6 months ago
A Study on Partitioned Iterative Function Systems for Image Compression
The technique of image compression using Iterative Function System (IFS) is known as fractal image compression. An extension of IFS theory is called as Partitioned or local Iterati...
Suman K. Mitra, C. A. Murthy, Malay Kumar Kundu