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IANDC
2007
81views more  IANDC 2007»
15 years 4 months ago
Some natural conditions on incremental learning
The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requirements s...
Sanjay Jain, Steffen Lange, Sandra Zilles
IJCV
1998
163views more  IJCV 1998»
15 years 3 months ago
CONDENSATION - Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
Michael Isard, Andrew Blake
JMLR
2010
211views more  JMLR 2010»
14 years 11 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ICML
2007
IEEE
16 years 5 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
CTRSA
2007
Springer
110views Cryptology» more  CTRSA 2007»
15 years 10 months ago
Selecting Secure Passwords
We mathematically explore a model for the shortness and security for passwords that are stored in hashed form. The model is implicitly in the NIST publication [8] and is based on c...
Eric R. Verheul