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ICIP
2007
IEEE
14 years 10 months ago
Statistically Driven Sparse Image Approximation
Finding the sparsest approximation of an image as a sum of basis functions drawn from a redundant dictionary is an NPhard problem. In the case of a dictionary whose elements form ...
Rosa M. Figueras i Ventura, Eero P. Simoncelli
ICML
2005
IEEE
14 years 9 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
SSDBM
2003
IEEE
111views Database» more  SSDBM 2003»
14 years 2 months ago
Performance Evaluation of Spatio-temporal Selectivity Estimation Techniques
— Many novel spatio-temporal applications deal with moving objects. In such environments, a database typically maintains the initial position and the moving function for each obj...
Marios Hadjieleftheriou, George Kollios, Vassilis ...
IPPS
2007
IEEE
14 years 3 months ago
A Markov Reward Model for Software Reliability
A compositional method for estimating software reliability of many threaded programs is developed. The method uses estimates of the reliability of individual modules and the proba...
YoungMin Kwon, Gul Agha
EUROMICRO
2007
IEEE
14 years 3 months ago
Scope Management of Non-Functional Requirements
Getting business stakeholders’ goals formulated clearly and project scope defined realistically increases the chance of success for any application development process. As a cons...
Mohamad Kassab, Maya Daneva, Olga Ormandjieva