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...
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 ...
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...
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...
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...