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» Graph Mining based on a Data Partitioning Approach
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162
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TIP
2010
155views more  TIP 2010»
15 years 1 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
126
Voted
ICPR
2004
IEEE
16 years 4 months ago
Landscape of Clustering Algorithms
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
Anil K. Jain, Alexander P. Topchy, Martin H. C. La...
VLDB
1998
ACM
312views Database» more  VLDB 1998»
15 years 7 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
126
Voted
TMC
2008
91views more  TMC 2008»
15 years 3 months ago
Dynamic Forwarding over Tree-on-DAG for Scalable Data Aggregation in Sensor Networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Moreo...
Kai-Wei Fan, Sha Liu, Prasun Sinha
172
Voted
SODA
2010
ACM
214views Algorithms» more  SODA 2010»
16 years 28 days ago
A Fourier space algorithm for solving quadratic assignment problems
The quadratic assignment problem (QAP) is a central problem in combinatorial optimization. Several famous computationally hard tasks, such as graph matching, partitioning, and the...
Risi Kondor