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» Localization from Incomplete Noisy Distance Measurements
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ACCV
2010
Springer
13 years 2 months ago
Saliency Density Maximization for Object Detection and Localization
Accurate localization of the salient object from an image is a difficult problem when the saliency map is noisy and incomplete. A fast approach to detect salient objects from image...
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
JUCS
2011
161views more  JUCS 2011»
13 years 2 months ago
Document Retrieval Using SIFT Image Features
: This paper describes a new approach to document classification based on visual features alone. Text-based retrieval systems perform poorly on noisy text. We have conducted serie...
Dan Smith, Richard Harvey
ICB
2007
Springer
136views Biometrics» more  ICB 2007»
14 years 1 months ago
Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation
Local Gabor features (jets) have been widely used in face recognition systems. Once the sets of jets have been extracted from the two faces to be compared, a proper measure of simi...
Daniel González-Jiménez, Manuele Bic...
VIS
2004
IEEE
214views Visualization» more  VIS 2004»
14 years 9 months ago
Surface Reconstruction of Noisy and Defective Data Sets
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
Hui Xie, Kevin T. McDonnell, Hong Qin
INFOCOM
2009
IEEE
14 years 2 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston