Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
The elevation function on a smoothly embedded 2-manifold in R3 reflects the multiscale topography of cavities and protrusions as local maxima. The function has been useful in iden...
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
Local spatial interaction (i.e. neighborhood interaction) between land-use types is an important component in Cellular Automata -based urban geosimulation models. Herein a new meth...
We introduce a set of techniques to both measure and optimize memory access locality of Java applications running on cc-NUMA servers. These techniques work at the object level and...