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» Co-evolution, Determinism and Robustness
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ICML
2010
IEEE
13 years 8 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
ICCV
2003
IEEE
14 years 9 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis
ICIP
2001
IEEE
14 years 9 months ago
New robust Hausdorff distance-based face detection
This paper proposes a novel approach for robust face detection based on our enhanced Hausdorff Distance (HD). A major aim of this research is to achieve a highly efficient method ...
Sanun Srisuk, Werasak Kurutach
ICPR
2006
IEEE
14 years 8 months ago
Robust Alignment of Transmission Electron Microscope Tilt Series
In this paper, we propose a novel method for automatic, feature-based alignment of transmission electron microscope images that is needed for computing 3D reconstructions in elect...
Sami S. Brandt, Ulrike Ziese
ICPR
2004
IEEE
14 years 8 months ago
Analysis of Rotational Robustness of Hand Detection with a Viola-Jones Detector
The research described in this paper analyzes the in-plane rotational robustness of the Viola-Jones object detection method when used for hand appearance detection. We determine t...
Mathias Kölsch, Matthew Turk