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» Hardening Functions for Large Scale Distributed Computations
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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
15 years 10 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
ESOP
2012
Springer
13 years 11 months ago
Generate, Test, and Aggregate - A Calculation-based Framework for Systematic Parallel Programming with MapReduce
Abstract. MapReduce, being inspired by the map and reduce primitives available in many functional languages, is the de facto standard for large scale data-intensive parallel progra...
Kento Emoto, Sebastian Fischer, Zhenjiang Hu
DCOSS
2010
Springer
15 years 9 months ago
MetroTrack: Predictive Tracking of Mobile Events Using Mobile Phones
We propose to use mobile phones carried by people in their everyday lives as mobile sensors to track mobile events. We argue that sensor-enabled mobile phones are best suited to de...
Gahng-Seop Ahn, Mirco Musolesi, Hong Lu, Reza Olfa...
145
Voted
PDCAT
2004
Springer
15 years 9 months ago
UbiqStor: A Remote Storage Service for Mobile Devices
In Ubiquitous computing environment the mobile devices such as PDAs necessarily connect to remote storage servers. We present an iSCSI caching system that localizes iSCSI target to...
MinHwan Ok, Daegeun Kim, Myong-Soon Park
167
Voted
IPPS
2009
IEEE
15 years 10 months ago
Designing multi-leader-based Allgather algorithms for multi-core clusters
The increasing demand for computational cycles is being met by the use of multi-core processors. Having large number of cores per node necessitates multi-core aware designs to ext...
Krishna Chaitanya Kandalla, Hari Subramoni, Gopala...