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AAAI
2011
14 years 5 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
CCGRID
2005
IEEE
15 years 10 months ago
A novel workload migration scheme for heterogeneous distributed computing
Dynamically partitioning of adaptive applications and migration of excess workload from overloaded processors to underloaded processors during execution are critical techniques ne...
Yawei Li, Zhiling Lan
136
Voted
JMM2
2008
102views more  JMM2 2008»
15 years 5 months ago
Logical Mapping: An Intermedia Synchronization Model for Multimedia Distributed Systems
The preservation of temporal dependencies among different media data, such as text, still images, video and audio, and which have simultaneous distributed sources as origin, is an ...
Saul Pomares Hernandez, Luis A. Morales Rosales, J...
117
Voted
MTSR
2007
Springer
15 years 11 months ago
A Distributed Architecture for Harvesting Metadata Describing Organizations in the Agriculture Sector
Providing easy access to updated, accurate and semantically meaningful information about organizations working in the agriculture sector is of primary importance in agricultural in...
Valeria Pesce, Maru Ajit, Gauri Salokhe, Johannes ...
ICIP
2008
IEEE
16 years 6 months ago
Localization of tampering in contrast and brightness adjusted images using distributed source coding and expectation maximizatio
Media authentication and tampering localization are important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded v...
Yao-Chung Lin, David P. Varodayan, Torsten Fink, E...