148 search results - page 3 / 30 » HaLoop: Efficient Iterative Data Processing on Large Cluster... |
WWW
2005
ACM
15 years 10 months ago
2005
ACM
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
81
Voted
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
114
click to vote
ADC
2007
Springer
15 years 1 months ago
2007
Springer
With the explosion of video data, video processing technologies have advanced quickly and been applied into many fields, such as advertisements, medical etc.. To fast search these...
96
Voted
CAINE
2003
14 years 11 months ago
2003
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
HIS
2004
14 years 11 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...