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» Compositional Memory Systems for Data Intensive Applications
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AISADM
2005
Springer
15 years 6 months ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
127
Voted
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 1 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
MVA
2007
281views Computer Vision» more  MVA 2007»
15 years 2 months ago
Evaluation of Stereo Matching Systems for Real World Applications Using Structured Light for Ground Truth Estimation
In this paper we present an evaluation method for stereo matching systems and sensors especially for real world indoor applications. We estimate ground truth reference images by i...
Martin Humenberger, Daniel Hartermann, Wilfried Ku...
127
Voted
SRDS
2005
IEEE
15 years 6 months ago
Consistent Main-Memory Database Federations under Deferred Disk Writes
Current cluster architectures provide the ideal environment to run federations of main-memory database systems (FMMDBs). In FMMDBs, data resides in the main memory of the federati...
Rodrigo Schmidt, Fernando Pedone
113
Voted
DATE
2003
IEEE
141views Hardware» more  DATE 2003»
15 years 6 months ago
On-chip Stack Based Memory Organization for Low Power Embedded Architectures
This paper presents a on-chip stack based memory organization that effectively reduces the energy dissipation in programmable embedded system architectures. Most embedded systems ...
Mahesh Mamidipaka, Nikil D. Dutt