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» Support Vector Machines: Theory and Applications
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KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 2 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
MIR
2010
ACM
234views Multimedia» more  MIR 2010»
15 years 8 months ago
ACQUINE: aesthetic quality inference engine - real-time automatic rating of photo aesthetics
We present ACQUINE - Aesthetic Quality Inference Engine, a publicly accessible system which allows users to upload their photographs and have them rated automatically for aestheti...
Ritendra Datta, James Ze Wang
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 8 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
81
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ICRA
2006
IEEE
93views Robotics» more  ICRA 2006»
15 years 8 months ago
A SVM-based Method for Engine Maintenance Strategy Optimization
— Due to the abundant application background, the optimization of maintenance problem has been extensively studied in the past decades. Besides the well-known difficulty of larg...
Qing-Shan Jia, Qianchuan Zhao
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
15 years 8 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...