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» The Skip-Innovation Model for Sparse Images
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KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 2 days ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
ISVC
2007
Springer
15 years 3 months ago
Automated Scene-Specific Selection of Feature Detectors for 3D Face Reconstruction
In comparison with 2D face images, 3D face models have the advantage of being illumination and pose invariant, which provides improved capability of handling changing environments ...
Yi Yao, Sreenivas R. Sukumar, Besma R. Abidi, Davi...
WACV
2002
IEEE
15 years 2 months ago
Appearance-based Eye Gaze Estimation
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking spec...
Kar-Han Tan, David J. Kriegman, Narendra Ahuja
ICAT
2003
IEEE
15 years 2 months ago
Distance Learning of Chang'an in an Immersive Environment
We have made a computer graphics model of Chang'an City when it was the capital of China during the Tang Dynasty (7-10th century). The real-time rendered images are projected...
Miho Kobayashi, Kei Utsugi, Masami Yamasaki, Haruo...
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ECCV
2010
Springer
14 years 11 months ago
Descriptor Learning for Efficient Retrieval
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...