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» Forecasting high-dimensional data
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COLING
2010
14 years 4 months ago
Dimensionality Reduction for Text using Domain Knowledge
Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as...
Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
ICASSP
2011
IEEE
14 years 1 months ago
NAP for high level language identification
Varying channel conditions present a difficult problem for many speech technologies such as language identification (LID). Channel compensation techniques have been shown to sig...
Fred S. Richardson, William M. Campbell
JMLR
2012
13 years 9 days ago
Minimax rates for homology inference
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sh...
JMLR
2012
13 years 9 days ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
ACSC
2004
IEEE
15 years 1 months ago
An Open Meteorological Alerting System: Issues and Solutions
This paper describes an experimental alerting system under development by the Australian Bureau of Meteorology, initially targetted at (but not restricted to) the aviation sector....
Ian D. Mathieson, Sandy Dance, Lin Padgham, Malcol...