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JMLR
2010
101views more  JMLR 2010»
15 years 26 days ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
ICML
2005
IEEE
16 years 6 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
ISMIS
2005
Springer
15 years 11 months ago
Bitmap Index-Based Decision Trees
In this paper we propose an original approach to apply data mining algorithms, namely decision tree-based methods, taking into account not only the size of processed databases but ...
Cécile Favre, Fadila Bentayeb
BNCOD
2004
65views Database» more  BNCOD 2004»
15 years 7 months ago
Reducing Damage Assessment Latency in Survivable Databases
Abstract. Traditional recovery mechanisms are not adequate in protecting databases from malicious attacks. A malicious transaction by virtue of writing on to the database can corru...
Indrakshi Ray, Ross M. McConnell, Monte Lunacek, V...
179
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ICIP
2007
IEEE
15 years 6 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...