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PR
2010
186views more  PR 2010»
15 years 1 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
136
Voted
CVPR
2003
IEEE
16 years 4 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
CORR
2007
Springer
193views Education» more  CORR 2007»
15 years 2 months ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...
137
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DAGM
2009
Springer
15 years 9 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
140
Voted
JASIS
2011
103views more  JASIS 2011»
14 years 9 months ago
Using global mapping to create more accurate document-level maps of research fields
We describe two general approaches to creating document-level maps of science. To create a local map one defines and directly maps a sample of data, such as all literature publish...
Richard Klavans, Kevin W. Boyack