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» Performing hypothesis tests on the shape of functional data
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AAAI
1990
13 years 8 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
14 years 2 months ago
Using automated search to generate test data for matlab
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
Sion Ll Rhys, Simon M. Poulding, John A. Clark
SIGSOFT
2003
ACM
14 years 8 months ago
Leveraging field data for impact analysis and regression testing
Software products are often released with missing functionality, errors, or incompatibilities that may result in failures, inferior performances, or user dissatisfaction. In previ...
Alessandro Orso, Taweesup Apiwattanapong, Mary Jea...
ICIP
2010
IEEE
13 years 5 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
ICASSP
2008
IEEE
14 years 2 months ago
Compressive wireless arrays for bearing estimation
Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing result...
Volkan Cevher, Ali Cafer Gurbuz, James H. McClella...