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» Modeling Features at Runtime
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ACL
2006
15 years 7 months ago
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements...
Qi Zhang, Fuliang Weng, Zhe Feng
ICCV
2003
IEEE
16 years 8 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
CIKM
2010
Springer
15 years 3 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
SLE
2009
Springer
16 years 21 days ago
Composing Feature Models
Feature modeling is a widely used technique in Software Product Line development. Feature models allow stakeholders to describe domain concepts in terms of commonalities and diffe...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
ICPR
2004
IEEE
16 years 7 months ago
Complex Human Activity Recognition for Monitoring Wide Outdoor Environments
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...