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» A Genetic Algorithm for Clustering on Very Large Data Sets
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CVPR
2010
IEEE
14 years 4 months ago
Globally Optimal Pixel Labeling Algorithms for Tree Metrics
We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis with a very large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
14 years 3 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
ICIP
2009
IEEE
14 years 9 months ago
Unsupervised Seabed Segmentation Of Synthetic Aperture Sonar Imagery Via Wavelet Features And Spectral Clustering
An unsupervised seabed segmentation algorithm for synthetic aperture sonar (SAS) imagery is proposed. Each 2 m ? 2 m area of seabed is treated as a unique data point. A set of fea...
SSPR
2004
Springer
14 years 2 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
EXPDB
2006
ACM
14 years 2 months ago
Performance Study of Rollout for Multi Dimensional Clustered Tables in DB2
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...
Bishwaranjan Bhattacharjee