General regression and representation model for classification.
Recently, the regularized coding-based classification methods (e.g. SRC and CRC) show a great potential for pattern classification. However, most existing coding methods assume that the representation residuals are uncorrelated. In real-world applications, this assumption does not hold. In this pape...
Main Authors: | Jianjun Qian, Jian Yang, Yong Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4274033?pdf=render |
Similar Items
-
Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification
by: Jie Hu, et al.
Published: (2018-02-01) -
A regression model for Digital Representation of Juggling
by: Avizzano Carlo Alberto, et al.
Published: (2011-12-01) -
Adaptive Regression and Classification Models with Applications in Insurance
by: Jekabsons Gints, et al.
Published: (2014-07-01) -
On the Regression Model for Generalized Normal Distributions
by: Ayman Alzaatreh, et al.
Published: (2021-01-01) -
Regression analysis in generalized linear models
by: LIN,JIN-ZHONG, et al.
Published: (1990)