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Much research has been devoted to studies of and algorithms for memory management based on garbage collection or explicit allocation and deallocation. An alternative approach, region-based memory mana...
Language Support for Regions     Language Support  Regions       2016/5/24
Region-based memory management systems structure memory by grouping objects in regions under program control.Memory is reclaimed by deleting regions, freeing all objects stored therein. Our compiler f...
Modern parallel architectures have both heterogeneous processors and deep, complex memory hierarchies. We present Legion, a programming model and runtime system for achieving high performance on these...
Applications on modern supercomputers are increasingly limited by the cost of data movement, but mainstream programming systems have few abstractions for describing the structure of a program’s data. ...
We present Regent, a high-productivity programming language for high performance computing with logical regions. Regent users compose programs with tasks (functions eligible for parallel execution) an...
Censorship is one of the greatest threats to open communication on the Internet. Information may be censored by a user’s country of residence or the information’s desired destination. But recent studi...
Construction of a Database of Secondary Structure Segments and Short Regions of Disorder and Analysis of Their Properties.
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Ideal video fingerprinting should be robust to various practical distortions. Conventional fingerprinting mainly copes with natural distortions (brightness change, resolution reduction, etc.), while a...
This paper presents a robust video fingerprinting based on visual attention regions. Video fingerprints, which are a set of short feature vectors, are unique to video clips and used for video identifi...
An image can be considered as a collection of small regions. Most researches of image understanding extract features of these regions, and investigate relationships between these regions and keywords ...

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