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» Classifying Problems into Complexity Classes
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113
Voted
CVPR
2004
IEEE
16 years 2 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
78
Voted
KDD
2005
ACM
80views Data Mining» more  KDD 2005»
16 years 24 days ago
Wavelet synopsis for data streams: minimizing non-euclidean error
We consider the wavelet synopsis construction problem for data streams where given n numbers we wish to estimate the data by constructing a synopsis, whose size, say B is much sma...
Sudipto Guha, Boulos Harb
143
Voted
PODS
2005
ACM
211views Database» more  PODS 2005»
16 years 15 days ago
Join-distinct aggregate estimation over update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...
149
Voted
MOBIHOC
2004
ACM
15 years 12 months ago
On greedy geographic routing algorithms in sensing-covered networks
Greedy geographic routing is attractive in wireless sensor networks due to its efficiency and scalability. However, greedy geographic routing may incur long routing paths or even ...
Guoliang Xing, Chenyang Lu, Robert Pless, Qingfeng...
123
Voted
KSEM
2009
Springer
15 years 7 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer