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109
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PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
15 years 9 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi
116
Voted
SMA
2008
ACM
173views Solid Modeling» more  SMA 2008»
15 years 3 months ago
Visibility-based feature extraction from discrete models
In this paper, we present a new visibility-based feature extraction algorithm from discrete models as dense point clouds resulting from laser scans. Based on the observation that ...
Antoni Chica
113
Voted
CVPR
2007
IEEE
16 years 5 months ago
Combining local and global motion models for feature point tracking
Aeron Buchanan, Andrew W. Fitzgibbon
132
Voted
ICIAP
2001
Springer
16 years 3 months ago
Automatic Features Detection for Overlapping Face Images on their 3D Range Models
We describe an algorithm for the automatic features detection in 2D color images of human faces. The algorithm proceeds with subsequent refinements. First, it identifies the sub-i...
Raffaella Lanzarotti, Paola Campadelli, N. Alberto...
147
Voted
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 1 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim