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DAGM
2010
Springer
14 years 11 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
PVLDB
2008
182views more  PVLDB 2008»
14 years 9 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
EDBT
2009
ACM
165views Database» more  EDBT 2009»
14 years 7 months ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos
VLDB
1995
ACM
97views Database» more  VLDB 1995»
15 years 1 months ago
Processing Object-Oriented Queries with Invertible Late Bound Functions
New demandsare put on query processing in Object-Oriented(00) databasesto provide efficient andrelationally completequery languages. A flexible 00 data model requires overloading ...
Staffan Flodin, Tore Risch
OTM
2009
Springer
15 years 4 months ago
Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications
Real-time event stream processing (RT-ESP) applications must synchronize continuous data streams despite fluctuations in resource availability. Satisfying these needs of RT-ESP ap...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...