167 search results - page 23 / 34 » Supervised Feature Extraction Using Hilbert-Schmidt Norms |
101
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BMVC
2010
14 years 9 months ago
2010
Semantic 3D models of buildings encode the geometry as well as the identity of key components of a facility, such as walls, floors, and ceilings. Manually constructing such a mode...
114
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ICIAR
2010
Springer
14 years 10 months ago
2010
Springer
The paper presents a novel feature extraction technique for face recognition which uses sparse projection axes to compute a lowdimensional representation of face images. The propos...
116
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MICCAI
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. Even with the recent advances in multidetector computed tomography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise...
101
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IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
108
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JCP
2008
14 years 11 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...