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CHI
2009
ACM
16 years 4 months ago
Improving visual search with image segmentation
People's ability to accurately locate target objects in images is severely affected by the prevalence of the sought objects. This negative effect greatly impacts critical rea...
Clifton Forlines, Ravin Balakrishnan
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 4 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 4 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 4 months ago
iSAX: indexing and mining terabyte sized time series
Current research in indexing and mining time series data has produced many interesting algorithms and representations. However, it has not led to algorithms that can scale to the ...
Jin Shieh, Eamonn J. Keogh
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 4 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...