We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
We present a template-based approach to detecting human silhouettes in a specific walking pose. Our templates consist of short sequences of 2D silhouettes obtained from motion cap...
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Researchers studying word learning have discovered that the syntactic frame in which a word appears plays an important role in the interpretation of the word, and this importance ...
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...