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» Transformation-Invariant Embedding for Image Analysis
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CVPR
2009
IEEE
15 years 6 months ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 5 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
15 years 3 months ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine
ICIP
2010
IEEE
14 years 9 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe
ARTCOM
2009
IEEE
15 years 4 months ago
Text Fusion Watermarking in Medical Image with Semi-reversible for Secure Transfer and Authentication
Nowadays, the transmission of digitized medical information has become very convenient due to the generality of Internet. Internet has created the biggest benefit to achieve the tr...
P. Viswanathan, P. Venkata Krishna