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» Regression with the optimised combination technique
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NPL
1998
135views more  NPL 1998»
13 years 7 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
JCP
2006
74views more  JCP 2006»
13 years 7 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
DAC
2005
ACM
13 years 9 months ago
A combined feasibility and performance macromodel for analog circuits
The need to reuse the performance macromodels of an analog circuit topology challenges existing regression based modeling techniques. A model of good reusability should have a num...
Mengmeng Ding, Ranga Vemuri
TASLP
2010
97views more  TASLP 2010»
13 years 2 months ago
Voice Conversion Using Partial Least Squares Regression
Abstract--Voice conversion can be formulated as finding a mapping function which transforms the features of the source speaker to those of the target speaker. Gaussian mixture mode...
Elina Helander, Tuomas Virtanen, Jani Nurminen, Mo...
ICPR
2010
IEEE
13 years 8 months ago
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
Superresolution is a technique to recover a highresolution image from a low resolution image . We develop a variational superresolution method for the subpixel accurate optical ï¬...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...