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AVSS
2009
IEEE
15 years 10 months ago
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling
This paper presents a background segmentation technique, which is able to process acceptable segmentation masks under fast global illumination changes. The histogram of the frame-...
Julien A. Vijverberg, Marijn J. H. Loomans, Cornel...
139
Voted
PR
2008
146views more  PR 2008»
15 years 3 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
CLEF
2005
Springer
15 years 9 months ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
ICRA
2003
IEEE
164views Robotics» more  ICRA 2003»
15 years 8 months ago
Mobile robot self-localization based on global visual appearance features
This paper presents a novel method for mobile robot localization using visual appearance features. A multidimensional-histogram is used to describe the global appearance features ...
Chao Zhou, Yucheng Wei, Tieniu Tan
118
Voted
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
15 years 9 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla