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BMVC
2010
14 years 8 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
ICB
2009
Springer
148views Biometrics» more  ICB 2009»
14 years 7 months ago
Fuzzy 3D Face Ethnicity Categorization
In this paper, we propose a novel fuzzy 3D face ethnicity categorization algorithm, which contains two stages, learning and mapping. In learning stage, the visual codes are first l...
Cheng Zhong, Zhenan Sun, Tieniu Tan
ICCV
2003
IEEE
15 years 11 months ago
Real-Time Simultaneous Localisation and Mapping with a Single Camera
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than ...
Andrew J. Davison
AAAI
2012
13 years 8 days ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
ASIAMS
2007
IEEE
15 years 4 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal