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» Fast Robust Visual Data Mining
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ALT
2010
Springer
13 years 8 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 6 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
ACSC
2006
IEEE
14 years 13 days ago
A framework for visual data mining of structures
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...
Hans-Jörg Schulz, Thomas Nocke, Heidrun Schum...
DIS
2004
Springer
13 years 11 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
ICRA
2009
IEEE
150views Robotics» more  ICRA 2009»
14 years 1 months ago
Flow separation for fast and robust stereo odometry
— Separating sparse flow provides fast and robust stereo visual odometry that deals with nearly degenerate situations that often arise in practical applications. We make use of ...
Michael Kaess, Kai Ni, Frank Dellaert