Titlebook: Neural Information Processing; 22nd International C Sabri Arik,Tingwen Huang,Qingshan Liu Conference proceedings 2015 Springer Internationa

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BARB

AGONY

四溢

champaign

Jia-Yue Xu,Shu-Tao Xiap in our research work: supporting language-neutral dynamic inheritance for both statically and dynamically typed programming languages. Executing both kinds of programming languages over the same platform provides a direct interoperation between them.

phlegm

Weng Kin Lai,Beng Ghee Tan,Ming Siong Soo,Imran Khanarallel algorithm for multi-join queries allowing to solve the problem of data skew while guaranteeing perfect balancing properties, on heterogeneous multi-processor Shared Nothing architectures. The performance of this algorithm is analyzed using the scalable portable BSP (Bulk Synchronous Parallel

Malaise

Zhen Dong,Mingtao Pei,Yunde Jiathermore, we identify the parameters influencing the performance of the replication process. We present a simulation prototype that is suitable to integrate and compare several replication solutions. We describe in detail one solution that seems to be the most promising in a wide-area setting.

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Pigeon

Sami Dalhoumi,Gérard Dray,Jacky Montmain,Stéphane Perreyintroduces a layered model to separate different tasks and concerns in designing data models for context-aware applications. It shows how existing works map to this layered model, and how the model can help in designing context aware applications that are better to maintain and safer to use.