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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
14 years 4 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 4 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ECML
2007
Springer
14 years 4 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
SCALESPACE
2007
Springer
14 years 4 months ago
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
Patrick Héas, Étienne Mémin, ...
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
14 years 3 months ago
Video with Ground-Truth for Validation of Visual Registration, Tracking and Navigation Algorithms
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
Rustam Stolkin, Alistair Greig, John Gilby