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ICASSP
2010
IEEE
15 years 7 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
IJMI
2010
212views more  IJMI 2010»
15 years 6 months ago
Integrating the SE and HCI models in the human factors engineering cycle for re-engineering Computerized Physician Order Entry s
The integration of Software Engineering (SE) and Human-Computer Interaction (HCI) methods and models is an interesting means for modelling an organization's activities, with ...
Stéphanie Bernonville, Christophe Kolski, N...
ICPR
2006
IEEE
16 years 8 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
ICSE
2003
IEEE-ACM
16 years 7 months ago
Why Can't They Create Architecture Models Like "Developer X"? An Experience Report
A large financial company, struggling with legacy systems that did not interoperate, performed a pilot project to teach software architecture to an enthusiastic application develo...
George Fairbanks

Publication
338views
16 years 5 months ago
Shape from Shading with a Generalized Reflectance Map Model
Most conventional SFS (shape from shading) algorithms have been developed under three basic assumptions on surface properties and imaging geometry to simplify the problem, namely, ...
Kyoung Mu Lee (Seoul National University), C.-C. J...