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FOCS
2000
IEEE
15 years 2 months ago
The Randomness Recycler: A New Technique for Perfect Sampling
For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...
James Allen Fill, Mark Huber
CVPR
2010
IEEE
15 years 3 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao
TSP
2008
113views more  TSP 2008»
14 years 10 months ago
Covariance Matrix Estimation With Heterogeneous Samples
We consider the problem of estimating the covariance matrix of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly ...
Olivier Besson, Stéphanie Bidon, Jean-Yves ...
INFOCOM
2010
IEEE
14 years 8 months ago
A Frequency Domain Model to Predict the Estimation Accuracy of Packet Sampling
—In network measurement systems, packet sampling techniques are usually adopted to reduce the overall amount of data to collect and process. Being based on a subset of packets, t...
Luigi Alfredo Grieco, Chadi Barakat
ICIP
2005
IEEE
15 years 11 months ago
Sampling in practice: is the best reconstruction space bandlimited?
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant " space, ...
Sathish Ramani, Dimitri Van De Ville, Michael Unse...