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» A selective sampling approach to active feature selection
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124
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ICCV
2007
IEEE
15 years 8 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
129
Voted
CVPR
1999
IEEE
16 years 3 months ago
The Customized-Queries Approach to CBIR Using EM
This paper makes two contributions. The first contribution is an approach called the "customized-queries" approach (CQA) to content-based image retrieval. The second is ...
Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, ...
JMLR
2008
94views more  JMLR 2008»
15 years 1 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
131
Voted
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
15 years 8 months ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart
CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 5 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...