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LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR data in urban area are used mostly to deal with the 3D points cloud an...
Fundamental characteristics of successive lerarning by Test Feature Classier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based on test data from two different study areas with different character...
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and Jones’ cascade learni...
The development of web and digital camera nowadays has made it easier to collect more than hundreds of thousands of examples. How to train a face detector based on the collected enormous face database...

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