A relevance filter is proposed which removes features based on the mutual information between class labels and features. It is proven that both feature independence and class condi...
Middleware for smart items can facilitate the coordinated execution of distributed components for early data processing. These components can be deployed to different nodes in the...
High-throughput scoring of image-based biological assays heavily depends on the extraction of quantitative numerical information from microscopy images. This paper describes how t...
This paper explores the suitability of UML techniques for defining hierarchical relationships in AMS (analogue and mixed-signal) circuit blocks, and XML for storing soft AMS IP de...
Ian O'Connor, Faress Tissafi-Drissi, G. Revy, Fr&e...
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...