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» A General Framework for Large Scale Systems Development
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MICROMACHINES
2011
14 years 6 months ago
Modeling Self-Assembly Across Scales: The Unifying Perspective of Smart Minimal Particles
: A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous funct...
Massimo Mastrangeli, Grégory Mermoud, Alche...
UBIMOB
2009
ACM
225views Management» more  UBIMOB 2009»
15 years 4 months ago
Historical data storage for large scale sensor networks
Wireless sensor networks are rapidly finding their way through a plethora of new applications like precision farming and forestry, with increasing network scale, system complexit...
Loïc Petit, Abdelhamid Nafaa, Raja Jurdak
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
15 years 1 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
COLT
2004
Springer
15 years 5 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
SIGIR
2006
ACM
15 years 5 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi