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» A selective sampling approach to active feature selection
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SDM
2010
SIAM
218views Data Mining» more  SDM 2010»
15 years 3 months ago
Confidence-Based Feature Acquisition to Minimize Training and Test Costs
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...
ICMCS
2005
IEEE
177views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Comparison of Visual Features and Fusion Techniques in Automatic Detection of Concepts from News Video
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
Mika Rautiainen, Tapio Seppänen
ICECCS
2010
IEEE
120views Hardware» more  ICECCS 2010»
15 years 1 months ago
Maintaining Stable Node Populations in Long-Lifetime Sensornets
Sensornets provide coverage of physical phenomena over extended periods, perhaps months or years. However, active nodes may deplete finite batteries within days, and are prone to...
Jonathan Tate, Iain Bate
CVPR
2001
IEEE
16 years 3 months ago
Learning Probabilistic Distribution Model for Multi-View Face Detection
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
Lie Gu, Stan Z. Li, HongJiang Zhang
TVCG
2010
114views more  TVCG 2010»
15 years 2 days ago
Topology-Aware Evenly Spaced Streamline Placement
—This paper presents a new streamline placement algorithm that produces evenly spaced long streamlines while preserving topological features of a flow field. Singularities and se...
Keqin Wu, Zhanping Liu, Song Zhang, Robert J. Moor...