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» Challenges: an application model for pervasive computing
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JCB
2007
97views more  JCB 2007»
15 years 4 months ago
Parsing Nucleic Acid Pseudoknotted Secondary Structure: Algorithm and Applications
Accurate prediction of pseudoknotted nucleic acid secondary structure is an important computational challenge. Prediction algorithms based on dynamic programming aim to find a st...
Baharak Rastegari, Anne Condon
SC
2005
ACM
15 years 10 months ago
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
Leo T. Yang, Xiaosong Ma, Frank Mueller
TIP
2010
155views more  TIP 2010»
15 years 2 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
ACCV
2009
Springer
15 years 11 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ICPP
2009
IEEE
15 years 11 months ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...