In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
The increasing use of microprocessor cores in embedded systems as well as mobile and portable devices creates an opportunity for customizing the cache subsystem for improved perfo...
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...