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» Lazy texture selection based on active learning
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VC
2010
118views more  VC 2010»
13 years 3 months ago
Lazy texture selection based on active learning
Tian Xia, Qing Wu, Chun Chen, Yizhou Yu
MLDM
2005
Springer
13 years 11 months ago
Activity and Motion Detection Based on Measuring Texture Change
We estimate the speed of texture change by measuring the spread of texture vectors in their feature space. This method allows us to robustly detect even very slow moving objects. B...
Longin Jan Latecki, Roland Miezianko, Dragoljub Po...
IBPRIA
2003
Springer
13 years 10 months ago
Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
Joan Martí, Jordi Freixenet, Xavier Mu&ntil...
CVIU
2007
137views more  CVIU 2007»
13 years 5 months ago
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Benjamín Hernández, Gustavo Olague, ...
FGR
2008
IEEE
188views Biometrics» more  FGR 2008»
14 years 16 hour ago
Person-independent face tracking based on dynamic AAM selection
Abstract This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Ap...
Akihiro Kobayashi, Junji Satake, Takatsugu Hirayam...