In recent years, there has been an increasing interest in Quantified Boolean Formula (QBF) evaluation, since several VLSI CAD problems can be formulated efficiently as QBF insta...
We propose a new methodology to look at the fitness contributions (semantics) of different schemata in Genetic Programming (GP). We hypothesize that the significance of a schem...
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
Wireless sensor networks enable dense sensing of the environment, offering unprecedented opportunities for observing the physical world. Centralized data collection and analysis a...
Deepak Ganesan, Ben Greenstein, Denis Perelyubskiy...
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...