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» Evaluating algorithms that learn from data streams
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HPDC
2007
IEEE
15 years 11 months ago
MOB: zero-configuration high-throughput multicasting for grid applications
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
Mathijs den Burger, Thilo Kielmann
ICDE
2012
IEEE
203views Database» more  ICDE 2012»
13 years 9 months ago
Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints
—The importance of introducing distance constraints to data dependencies, such as differential dependencies (DDs) [28], has recently been recognized. The metric distance constrai...
Shaoxu Song, Lei Chen 0002, Hong Cheng
WWW
2006
ACM
16 years 7 months ago
Detecting online commercial intention (OCI)
Understanding goals and preferences behind a user's online activities can greatly help information providers, such as search engine and E-Commerce web sites, to personalize c...
Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji...
DEBS
2011
ACM
14 years 10 months ago
Declarative data-driven coordination
Many data-driven social and Web applications involve collaboration and coordination. The vision of declarative data-driven coordination (D3C), proposed in [9], is to support coord...
Johannes Gehrke
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
16 years 1 months ago
Multi-level local descriptor quantization for bag-of-visterms image representation
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
Pedro Quelhas, Jean-Marc Odobez