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» Learning the Relative Importance of Features in Image Data
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156
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CVPR
2006
IEEE
16 years 5 months ago
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
The creation of facial range models by 3D imaging systems has led to extensive work on 3D face recognition [19]. However, little work has been done to study the usefulness of such...
Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun
137
Voted
SIGMOD
2003
ACM
152views Database» more  SIGMOD 2003»
16 years 3 months ago
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects
In modern application domains such as multimedia, molecular biology and medical imaging, similarity search in database systems is becoming an increasingly important task. Especial...
Hans-Peter Kriegel, Stefan Brecheisen, Peer Kr&oum...
158
Voted
CVPR
2012
IEEE
13 years 6 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
157
Voted
ICML
2000
IEEE
16 years 4 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
156
Voted
IDA
2006
Springer
15 years 3 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...