Sciweavers

Share
TNN
2010
176views Management» more  TNN 2010»
8 years 6 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
MASS
2010
155views Communications» more  MASS 2010»
8 years 6 months ago
Large scale geolocalization and routing experimentation with the SensLAB testbed
SensLAB's goal is to provide a very large scale open wireless sensor network testbed, by deploying 1024 nodes over 4 interconnected sites, and to offer a reference tool for th...
Tony Ducrocq, Julien Vandaele, Nathalie Mitton, Da...
PPNA
2011
8 years 7 months ago
Evaluation framework for adaptive context-aware routing in large scale mobile peer-to-peer systems
The proliferation of novel wireless network technologies creates new opportunities for complex peerto-peer information dissemination systems. A key challenge that remains in this a...
Ansar-Ul-Haque Yasar, Davy Preuveneers, Yolande Be...
CDC
2010
IEEE
119views Control Systems» more  CDC 2010»
8 years 7 months ago
Multichannel small-gain theorems for large scale networked systems
We consider large scale interconnected systems where some of the interconnections are characterized by uncertain bounded delays. The delays may for instance be due to a communicati...
Rudolf Sailer, Fabian Wirth
ICCV
2009
IEEE
8 years 9 months ago
Incremental action recognition using feature-tree
Action recognition methods suffer from many drawbacks in practice, which include (1)the inability to cope with incremental recognition problems; (2)the requirement of an intensive...
Kishore K. Reddy, Jingen Liu, Mubarak Shah
HIPC
2009
Springer
8 years 9 months ago
Fast checkpointing by Write Aggregation with Dynamic Buffer and Interleaving on multicore architecture
Large scale compute clusters continue to grow to ever-increasing proportions. However, as clusters and applications continue to grow, the Mean Time Between Failures (MTBF) has redu...
Xiangyong Ouyang, Karthik Gopalakrishnan, Tejus Ga...
USS
2010
8 years 10 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
8 years 10 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
CLOUDCOM
2010
Springer
8 years 10 months ago
Performing Large Science Experiments on Azure: Pitfalls and Solutions
Carrying out science at extreme scale is the next generational challenge facing the broad field of scientific research. Cloud computing offers to potential for an increasing number...
Wei Lu, Jared Jackson, Jaliya Ekanayake, Roger S. ...
CEC
2010
IEEE
8 years 10 months ago
Large scale global optimization using self-adaptive differential evolution algorithm
In this paper we present self-adaptive differential evolution algorithm jDElsgo on large scale global optimization. The experimental results obtained by our algorithm on benchmark ...
Janez Brest, Ales Zamuda, Iztok Fister, Mirjam Sep...
books