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» Fisher Kernels for Relational Data
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ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
14 years 9 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
COORDINATION
2007
Springer
15 years 6 months ago
Reactors: A Data-Oriented Synchronous/Asynchronous Programming Model for Distributed Applications
Our aim is to define the kernel of a simple and uniform programming model—the reactor model—suitable for building and evolving internet-scale programs. A reactor consists of t...
John Field, Maria-Cristina V. Marinescu, Christian...
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
15 years 6 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 5 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
ICDE
1998
IEEE
153views Database» more  ICDE 1998»
16 years 1 months ago
Flattening an Object Algebra to Provide Performance
Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in OODBMS is difficult due to the complexity o...
Peter A. Boncz, Annita N. Wilschut, Martin L. Kers...