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PAMI
2007
156views more  PAMI 2007»
15 years 4 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
MA
2010
Springer
132views Communications» more  MA 2010»
15 years 3 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
PPSN
2010
Springer
15 years 3 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
ICASSP
2011
IEEE
14 years 8 months ago
User selection schemes for maximizing throughput of multiuser MIMO systems using Zero Forcing Beamforming
The performance of a multiuser MIMO broadcast system depends highly on how the users being served are selected from the pool of users requesting service. Though dirty paper coding...
Anh H. Nguyen, Bhaskar D. Rao
ECCV
2006
Springer
16 years 7 months ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó