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» Combined Data Mining Approach for Intrusion Detection
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ICIAR
2004
Springer
15 years 9 months ago
Appearance-Based Object Detection in Space-Variant Images: A Multi-model Approach
Recently, log-polar images have been successfully used in active-vision tasks such as vergence control or target tracking. However, while the role of foveal data has been exploited...
V. Javier Traver, Alexandre Bernardino, Plinio Mor...
IWINAC
2009
Springer
15 years 8 months ago
Results of an Adaboost Approach on Alzheimer's Disease Detection on MRI
Abstract. In this paper we explore the use of the Voxel-based Morphometry (VBM) detection clusters to guide the feature extraction processes for the detection of Alzheimer's d...
Alexandre Savio, Maite García-Sebasti&aacut...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 1 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
15 years 7 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 4 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles