scholarly journals Feature Complementarity and Assortment in Choice

2005 ◽  
Vol 31 (4) ◽  
pp. 748-759 ◽  
Author(s):  
Alexander Chernev
Keyword(s):  
Feature Complementarity

Multi-label feature selection based on label distribution and feature complementarity

2020 ◽  
Vol 90 ◽  
pp. 106167 ◽  
Author(s):  
Wenbin Qian ◽  
Xuandong Long ◽  
Yinglong Wang ◽  
Yonghong Xie
Keyword(s):  
Feature Selection ◽  
Feature Complementarity ◽  
Label Distribution

scholarly journals Multistage Feature Complimentary Network for Single-Image Deraining

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Kangying Wang ◽  
Minghui Wang
Keyword(s):  
Neural Network ◽  
Image Analysis ◽  
Recurrent Neural Network ◽  
Data Sets ◽  
Single Image ◽  
Visual Effects ◽  
Rain Removal ◽  
Feature Complementarity ◽  
Vision Algorithm ◽  
Image Details

Rain will cause the occlusion and blur of background and target objects and affect the image visual effect and subsequent image analysis. Aiming at the problem of insufficient rain removal in the current rain removal algorithm, in order to improve the accuracy of computer vision algorithm in the process of rain removal, this paper proposes a multistage framework based on progressive restoration combined with recurrent neural network and feature complementarity technology to remove rain streak from single images. Firstly, the encoder-decoder subnetwork is adapted to learn multiscale information and extract richer rain features. Secondly, the original resolution image restored by decoder is used to preserve refined image details. Finally, we use the effective information of the previous stage to guide the rain removal of the next stage by the recurrent neural network. The final experimental results show that a multistage feature complementarity network performs well on both synthetic rainy data sets and real-world rainy data sets can remove rain more completely, preserve more background details, and achieve better visual effects compared with some popular single-image deraining methods.

Person re-identification based on multi-level feature complementarity of cross-attention with part metric learning

2020 ◽  
Vol 79 (29-30) ◽  
pp. 21409-21439
Author(s):  
Zeng Lu ◽  
Guoheng Huang ◽  
Chi-Man Pun ◽  
Lianglun Cheng
Keyword(s):  
Metric Learning ◽  
Multi Level ◽  
Feature Complementarity

scholarly journals Optimizing feature complementarity by evolution strategy: Application to automatic speaker verification

2009 ◽  
Vol 51 (9) ◽  
pp. 724-731 ◽  
Author(s):  
C. Charbuillet ◽  
B. Gas ◽  
M. Chetouani ◽  
J.L. Zarader
Keyword(s):  
Speaker Verification ◽  
Evolution Strategy ◽  
Feature Complementarity
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