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PRL
2011
13 years 3 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
CVPR
2004
IEEE
14 years 11 months ago
Spherical Harmonics vs. Haar Wavelets: Basis for Recovering Illumination from Cast Shadows
The problem of estimating an illumination distribution from images is called inverse lighting. For inverse lighting, three approaches have been developed based on specular reflect...
Takahiro Okabe, Imari Sato, Yoichi Sato
SIGSOFT
2007
ACM
14 years 9 months ago
On marrying ontological and metamodeling technical spaces
In software engineering, the use of models and metamodeling approaches (e.g., MDA with MOF/UML) for purposes such as software design or software validation is an established pract...
Fernando Silva Parreiras, Steffen Staab, Andreas W...
ICSE
2003
IEEE-ACM
14 years 9 months ago
Improving Test Suites via Operational Abstraction
g Test Suites via Operational Abstraction Michael Harder Jeff Mellen Michael D. Ernst MIT Lab for Computer Science 200 Technology Square Cambridge, MA 02139 USA {mharder,jeffm,mern...
Michael Harder, Jeff Mellen, Michael D. Ernst
AIME
2009
Springer
14 years 3 months ago
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
Marina Velikova, Maurice Samulski, Peter J. F. Luc...