이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
A selection of recent state of the art "feature ranking and selection" methods for Matlab.
BibTex
------------------------------------------------------------------------
@InProceedings{RoffoICCV15,
author={G. Roffo and S. Melzi and M. Cristani},
booktitle={2015 IEEE International Conference on Computer Vision (ICCV)},
title={Infinite Feature Selection},
year={2015},
pages={4202-4210},
keywords={feature extraction;image classification;image filtering;matrix algebra;object recognition;Inf-FS;classification setting;feature learning strategy;filter-based feature selection;infinite feature selection;matrices;object recognition;Benchmark testing;Convergence;Feature extraction;Joining processes;Object recognition;Redundancy;Standards},
doi={10.1109/ICCV.2015.478},
month={Dec}}
------------------------------------------------------------------------
인용 양식
Giorgio (2026). Feature Selection by Eigenvector Centrality (https://kr.mathworks.com/matlabcentral/fileexchange/54764-feature-selection-by-eigenvector-centrality), MATLAB Central File Exchange. 검색 날짜: .
도움
도움 받은 파일: Infinite Feature Selection, Feature Selection Library
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 4.1.0.0 | + documentation |
||
| 3.9.0.0 | [1] InfFS
|
||
| 3.0.0.0 | - Added new method: Features Selection via Eigenvector Centrality (ECFS) 2016
|
||
| 2.2.0.0 | Added 9 more feature selection methods from recent literature (2016) |
||
| 1.6.0.0 | http://www.mathworks.com/matlabcentral/fileexchange/56815-feature-selection-library |
||
| 1.5.0.0 | Demo file Added |
