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» Robust Algorithms for Object Localization
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 10 months ago
Robust Clustering in Arbitrarily Oriented Subspaces
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
Elke Achtert, Christian Böhm, Jörn David...
ACCV
2007
Springer
14 years 3 months ago
Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds
Abstract. We propose a robust method to extract silhouettes of foreground objects from color video sequences. To cope with various changes in the background, the background is mode...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomo...
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 7 months ago
Human-guided grasp measures improve grasp robustness on physical robot
— Humans are adept at grasping different objects robustly for different tasks. Robotic grasping has made significant progress, but still has not reached the level of robustness ...
Ravi Balasubramanian, Ling Xu, Peter D. Brook, Jos...
ISMAR
2009
IEEE
14 years 3 months ago
Robust pose estimation in untextured environments for augmented reality applications
We present a robust camera pose estimation approach for stereo images captured in untextured environments. Unlike most of existing registration algorithms which are point-based an...
Wei Guan, Lu Wang, Jonathan Mooser, Suya You, Ulri...
ACCV
2009
Springer
14 years 3 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu