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IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 4 months ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 17 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
80
Voted
ACCV
2007
Springer
15 years 4 months ago
A Theoretical Approach to Construct Highly Discriminative Features with Application in AdaBoost
AdaBoost is a practical method of real-time face detection, but abides by a crucial problem of overfitting for the big number of features used in a trained classifier due to the ...
Yuxin Jin, Linmi Tao, Guangyou Xu, Yuxin Peng
84
Voted
CVPR
2007
IEEE
15 years 4 months ago
Moving Object Detection on a Runway Prior to Landing Using an Onboard Infrared Camera
Determining the status of a runway prior to landing is essential for any aircraft, whether manned or unmanned. In this paper, we present a method that can detect moving objects on...
Cheng-Hua Pai, Yuping Lin, Gérard G. Medion...
88
Voted
ICPR
2008
IEEE
15 years 4 months ago
Boosted complex moments for discriminant rotation invariant object recognition
This paper proposes a method for constructing a discriminative rotation invariant object recognition system from the set of complex moments by using a multi-class boosting algorit...
Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot