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» Fisher Kernels for Relational Data
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CVPR
2008
IEEE
16 years 1 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
ECCV
2002
Springer
16 years 1 months ago
Face Recognition from Long-Term Observations
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...
Gregory Shakhnarovich, John W. Fisher III, Trevor ...
EGC
2005
Springer
15 years 5 months ago
Fault Tolerance in the R-GMA Information and Monitoring System
R-GMA (Relational Grid Monitoring Architecture) [1] is a grid monitoring and information system that provides a global view of data distributed across a grid system. R-GMA creates ...
Rob Byrom, Brian A. Coghlan, Andrew W. Cooke, Rone...
TIP
2008
169views more  TIP 2008»
14 years 11 months ago
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
Adrian M. Peter, Anand Rangarajan
NIPS
2008
15 years 1 months ago
Theory of matching pursuit
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
Zakria Hussain, John Shawe-Taylor