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KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 9 months ago
Data Mining for Typhoon Image Collection
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this research is the typhoon image collection that we e...
Asanobu Kitamoto
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
14 years 8 days ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
SOCIALCOM
2010
13 years 6 months ago
Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
Katayoun Farrahi, Daniel Gatica-Perez
BMCBI
2008
173views more  BMCBI 2008»
13 years 8 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
COLT
2010
Springer
13 years 6 months ago
Principal Component Analysis with Contaminated Data: The High Dimensional Case
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
Huan Xu, Constantine Caramanis, Shie Mannor