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» Evaluating algorithms that learn from data streams
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WACV
2002
IEEE
16 years 16 days ago
Range Synthesis for 3D Environment Modeling
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
Luz Abril Torres-Méndez, Gregory Dudek
NAACL
2004
15 years 9 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian
ICML
2010
IEEE
15 years 8 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
EJASP
2010
116views more  EJASP 2010»
15 years 2 months ago
Data Fusion for Improved Respiration Rate Estimation
Abstract--We present an application of a modified KalmanFilter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is rob...
Shamim Nemati, Atul Malhotra, Gari D. Clifford

Lecture Notes
4961views
17 years 5 months ago
The Relational Data Model, Normalisation and effective Database Design
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
Tony Marston