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ICPR
2006
IEEE
16 years 5 months ago
Object Localization Based on Directional Information: Case of 2D Raster Data
A directional spatial relationship to a reference object (e.g., "east of the post office") can be represented by a spatial template. The template partitions the space in...
JingBo Ni, Pascal Matsakis, Xin Wang
WACV
2012
IEEE
13 years 11 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
137
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BVAI
2005
Springer
15 years 9 months ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...
UAI
2003
15 years 5 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
PAMI
2012
13 years 6 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang