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» Performance Modelling of the Computational Hardware: A Stati...
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MICRO
2002
IEEE
164views Hardware» more  MICRO 2002»
15 years 11 months ago
A quantitative framework for automated pre-execution thread selection
Pre-execution attacks cache misses for which conventional address-prediction driven prefetching is ineffective. In pre-execution, copies of cache miss computations are isolated fr...
Amir Roth, Gurindar S. Sohi
ECCV
2004
Springer
16 years 8 months ago
Multiple Classifier System Approach to Model Pruning in Object Recognition
We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
Josef Kittler, Alireza Ahmadyfard
CVPR
2009
IEEE
17 years 1 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
EUROPAR
2007
Springer
16 years 24 days ago
Grid Resource Ranking Using Low-Level Performance Measurements
Abstract. This paper outlines a feasible approach to ranking Grid resources based on an easily obtainable application-specific performance model utilizing low-level performance me...
George Tsouloupas, Marios D. Dikaiakos
ECMDAFA
2010
Springer
135views Hardware» more  ECMDAFA 2010»
15 years 11 months ago
Towards Model Driven Tool Interoperability: Bridging Eclipse and Microsoft Modeling Tools
Successful application of model-driven engineering approaches requires interchanging a lot of relevant data among the tool ecosystem employed by an engineering team (e.g., requirem...
Hugo Bruneliere, Jordi Cabot, Cauê Clasen, F...