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» Learning Patterns in Noisy Data: The AQ Approach
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KDD
2010
ACM
277views Data Mining» more  KDD 2010»
15 years 9 months ago
Growing a tree in the forest: constructing folksonomies by integrating structured metadata
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured ...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
CVPR
2012
IEEE
13 years 8 months ago
Tracking many vehicles in wide area aerial surveillance
Wide area aerial surveillance data has recently proliferated and increased the demand for multi-object tracking algorithms. However, the limited appearance information on every ta...
Jan Prokaj, Xuemei Zhao, Gérard G. Medioni
CCS
2009
ACM
16 years 26 days ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
RSS
2007
152views Robotics» more  RSS 2007»
15 years 7 months ago
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 8 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...