In this paper, we propose a new transparent built-in self-test ( TBIST ) method to test multiple embedded memory arrays with various sizes in parallel. First, a new transparent tes...
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Hyperspectral images have correlation at the level of pixels; moreover, images from neighboring frequency bands are also closely correlated. In this paper, we propose to use distr...
Caimu Tang, Ngai-Man Cheung, Antonio Ortega, Cauli...
We describe a new automatic static analysis for determining upper-bound functions on the use of quantitative resources for strict, higher-order, polymorphic, recursive programs de...
Steffen Jost, Hans-Wolfgang Loidl, Kevin Hammond, ...
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...