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153
Voted
CVPR
2005
IEEE
16 years 5 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
240
Voted
VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 4 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
WADS
2009
Springer
223views Algorithms» more  WADS 2009»
15 years 10 months ago
Fault Tolerant External Memory Algorithms
Abstract. Algorithms dealing with massive data sets are usually designed for I/O-efficiency, often captured by the I/O model by Aggarwal and Vitter. Another aspect of dealing with ...
Gerth Stølting Brodal, Allan Grønlun...
132
Voted
VL
1995
IEEE
121views Visual Languages» more  VL 1995»
15 years 7 months ago
Buffering of Intermediate Results in Dataflow Diagrams
Buffering of intermediate results in dataflow diagrams can significantly reduce latency when a user browses these results or re-executes a diagram with slightly different inputs. ...
Allison Woodruff, Michael Stonebraker
159
Voted
CN
2007
148views more  CN 2007»
15 years 3 months ago
Using taxonomies for content-based routing with ants
Although the ant metaphor has been successfully applied to routing of data packets both in wireless and fixed networks, little is known yet about its appropriateness for search i...
Elke Michlmayr, Arno Pany, Gerti Kappel