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AI
2011
Springer
14 years 11 months ago
Subspace Mapping of Noisy Text Documents
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 10 months ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
13 years 10 months ago
Monitoring and Mining Insect Sounds in Visual Space
Monitoring animals by the sounds they produce is an important and challenging task, whether the application is outdoors in a natural habitat, or in the controlled environment of a...
Yuan Hao, Bilson J. L. Campana, Eamonn J. Keogh
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
17 years 18 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICDE
2009
IEEE
129views Database» more  ICDE 2009»
16 years 9 months ago
Computing Distance Histograms Efficiently in Scientific Databases
Abstract-- Particle simulation has become an important research tool in many scientific and engineering fields. Data generated by such simulations impose great challenges to databa...
Yi-Cheng Tu, Shaoping Chen, Sagar Pandit