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SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 3 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
143
Voted
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
15 years 11 days ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
ICCVW
1999
Springer
15 years 6 months ago
Direct Recovery of Planar-Parallax from Multiple Frames
In this paper we present an algorithm that estimates dense planar-parallax motion from multiple uncalibrated views of a 3D scene. This generalizes the \plane + parallax" recov...
Michal Irani, P. Anandan, Meir Cohen
109
Voted
WSC
1998
15 years 3 months ago
An Approach to Ranking and Selection for Multiple Performance Measures
In this paper, we develop a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple att...
Douglas J. Morrice, John C. Butler, Peter W. Mulla...
RC
2006
57views more  RC 2006»
15 years 2 months ago
New Formulae for Multiplication of Intervals
The paper treats the problem of interval multiplication for the case where the product interval has to be in affine form. New formulae for multiplication of independent intervals, ...
Lubomir V. Kolev