Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/11494683_3 ◽

2005 ◽

pp. 22-31 ◽

Cited By ~ 10

Author(s):

Kenji Nishida ◽

Takio Kurita

Keyword(s):

Feature Selection ◽

Pedestrian Detection ◽

Soft Margin ◽

Selection For

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Deep Visible and Thermal Image Fusion with Cross-Modality Feature Selection for Pedestrian Detection

Lecture Notes in Computer Science - Network and Parallel Computing ◽

10.1007/978-3-030-79478-1_10 ◽

2021 ◽

pp. 117-127

Author(s):

Mingyue Li ◽

Zhenzhou Shao ◽

Zhiping Shi ◽

Yong Guan

Keyword(s):

Feature Selection ◽

Image Fusion ◽

Pedestrian Detection ◽

Thermal Image ◽

Selection For

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Co-Evolution based Feature Selection for Pedestrian Detection

2007 IEEE International Conference on Control and Automation ◽

10.1109/icca.2007.4376871 ◽

2007 ◽

Cited By ~ 3

Author(s):

Y.P. Guo ◽

X.B. Cao ◽

Y.W. Xu ◽

Q. Hong

Keyword(s):

Feature Selection ◽

Pedestrian Detection ◽

Selection For

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Optimal Feature Selection for Pedestrian Detection Based on Logistic Regression Analysis

2013 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/smc.2013.47 ◽

2013 ◽

Cited By ~ 2

Author(s):

Jonghee Kim ◽

Jonghwan Lee ◽

Chungsu Lee ◽

Eunsoo Park ◽

Junmin Kim ◽

...

Keyword(s):

Logistic Regression ◽

Feature Selection ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Pedestrian Detection ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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Boosting with cross-validation based feature selection for pedestrian detection

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633959 ◽

2008 ◽

Cited By ~ 2

Author(s):

Kenji Nishida ◽

Takio Kurita

Keyword(s):

Feature Selection ◽

Cross Validation ◽

Pedestrian Detection ◽

Selection For

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FEATURE SELECTION FOR THE DETECTION OF EPILEPSY BY USING EEG PHYSIOLOGICAL SIGNAL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.2.13727 ◽

2017 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

CHANDANI MANISHA ◽

KUMAR ARUN ◽

◽

Keyword(s):

Feature Selection ◽

Physiological Signal ◽

Selection For

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Chicken Algorithm Based Feature Selection For Arabic Information Searching System

10.36458/1253-000-033-015 ◽

2019 ◽

pp. 389

Author(s):

زينب عبدالأمير ◽

علياء كريم عبدالحسن

Keyword(s):

Feature Selection ◽

Information Searching ◽

Selection For

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Selection For

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An MRMR with mean score feature selection for ovarian cancer classification using joint analysis

International Journal of Pharma and Bio Sciences ◽

10.22376/ijpbs.2017.8.2.b495-504 ◽

2017 ◽

Vol 8 (2) ◽

Author(s):

M.ANI DHA ◽

DR.K.PREMA LATHA

Keyword(s):

Ovarian Cancer ◽

Feature Selection ◽

Cancer Classification ◽

Joint Analysis ◽

Selection For

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Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection

2019 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/iccnc.2019.8685636 ◽

2019 ◽

Cited By ~ 3

Author(s):

Fadi Salo ◽

MohammadNoor Injadat ◽

Abdallah Moubayed ◽

Ali Bou Nassif ◽

Aleksander Essex

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Selection For

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Feature selection for off-line recognition of different size signatures

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.2002.1030047 ◽

2003 ◽

Author(s):

G.D.D.C. Cavalcanti ◽

R.C. Doria ◽

E.Cde.B.C. Filho

Keyword(s):

Feature Selection ◽

Selection For

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