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IEICE Trans

Keyword : Random Forest

Vision Based Nighttime Vehicle Detection Using Adaptive Threshold and Multi-Class Classification
Yuta SAKAGAWA Kosuke NAKAJIMA Gosuke OHASHI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2019/09/01
Vol. E102-A  No. 9 ; pp. 1235-1245
Type of Manuscript:  Special Section PAPER (Special Section on Image Media Quality)
Category: 
Keyword: 
intelligent transportation systems, nighttime driving scenes, vehicle detection, Niblack thresholding, Random Forest, mathematical morphology, 
 Summary | Full Text:PDF
Boosted Random Forest
Yohei MISHINA Ryuei MURATA Yuji YAMAUCHI Takayoshi YAMASHITA Hironobu FUJIYOSHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/09/01
Vol. E98-D  No. 9 ; pp. 1630-1636
Type of Manuscript:  Special Section PAPER (Special Section on Optimization and Learning Algorithms of Small Embedded Devices and Related Software/Hardware Implementation)
Category: 
Keyword: 
Boosting, Random Forest, machine learning, pattern recognition, 
 Summary | Full Text:PDF
Improving Hough Based Pedestrian Detection Accuracy by Using Segmentation and Pose Subspaces
Jarich VANSTEENBERGE Masayuki MUKUNOKI Michihiko MINOH 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2014/10/01
Vol. E97-D  No. 10 ; pp. 2760-2768
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
Hough based detections, pedestrian segmentation, pose estimation, Random Forest, kPCA, 
 Summary | Full Text:PDF