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» Using feature models to automate model transformations
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WACV
2007
IEEE
16 years 1 months ago
Probabilistic Hierarchical Face Model for Feature Localization
Facial feature localization is an important research area in both computer vision and pattern analysis. We present in this paper a hierarchical face model. It unifies both the gl...
Feng Tang, Jin Wang, Hai Tao, Qunsheng Peng
214
Voted
PPSN
2010
Springer
15 years 4 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
198
Voted
IJCAI
2007
15 years 8 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
174
Voted
SMA
2008
ACM
173views Solid Modeling» more  SMA 2008»
15 years 7 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
178
Voted
FIW
2007
15 years 8 months ago
Model Inference Approach for Detecting Feature Interactions in Integrated Systems
Many of the formal techniques are orchestrated for interaction detection in a complex integrated solution of hardware and software components. However, the applicability of these ...
Muzammil Shahbaz, Benoît Parreaux, Francis K...