Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
NesC is a programming language for applications that run on top of networked sensor nodes. Such an application mainly uses an interrupt to trigger a sequence of operations, known ...
A number of experimental studies based on domain-specific tasks have evaluated the efficiency of navigation techniques for searching multi-scale worlds. The discrepancies among th...
Emmanuel Pietriga, Caroline Appert, Michel Beaudou...
As sharing personal media online becomes easier and widely spread, new privacy concerns emerge ? especially when the persistent nature of the media and associated context reveals ...
Shane Ahern, Dean Eckles, Nathaniel Good, Simon Ki...