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» Efficient kernel feature extraction for massive data sets
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WWW
2007
ACM
14 years 8 months ago
Query-driven indexing for peer-to-peer text retrieval
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as ...
Gleb Skobeltsyn, Toan Luu, Karl Aberer, Martin Raj...
CLUSTER
2007
IEEE
14 years 2 months ago
Balancing productivity and performance on the cell broadband engine
— The Cell Broadband Engine (BE) is a heterogeneous multicore processor, combining a general-purpose POWER architecture core with eight independent single-instructionmultiple-dat...
Sadaf R. Alam, Jeremy S. Meredith, Jeffrey S. Vett...
BMCBI
2010
154views more  BMCBI 2010»
13 years 5 months ago
Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation
Background: External stimulations of cells by hormones, cytokines or growth factors activate signal transduction pathways that subsequently induce a re-arrangement of cellular gen...
Andreas Kowarsch, Florian Blöchl, Sebastian B...
CIKM
2008
Springer
13 years 9 months ago
A consensus based approach to constrained clustering of software requirements
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
CVPR
2010
IEEE
14 years 4 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah