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CNKI期刊论文0611(6)
知网期刊论文(2261)
在“
Elsevier电子期刊
”中,
命中:
286
条,耗时:0.0679948 秒
在所有数据库中总计命中:
5,449
条
1.
MILKDE: A new approach for
multi
ple
instance
learning
based on positive
instance
selection and kernel density estimation
作者:
A.W.C. Faria
a
;
F.G.F. Coelho
a
;
A.M. Silva
b
;
H.P. Rocha
a
;
G.M. Almeida
c
;
A.P. Lemos
a
;
A.P. Braga
a
;
关键词:
Multi
ple
instance
learning
;
KDE
;
Instance
selection
;
Instance
ranking
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
2.
Multi
ple-
Instance
feature extraction at the bag and
instance
levels using the maximum trace-difference criterion
作者:
Jing Chai
a
;
jingchai@aliyun.com
;
jing_chai@hotmail.com
;
Bo Chen
b
;
Fan Liu
a
;
Zehua Chen
a
;
Xinghao Ding
c
关键词:
Multi
ple-
instance
learning
;
Feature extraction
;
Dimensionality reduction
;
Maximum trace-difference
刊名:Information Sciences
出版年:2017
3.
Supervised aggregated feature
learning
for
multi
ple
instance
classification
作者:
Rocco Langone
;
rocco.langone@esat.kuleuven.be" class="auth_mail" title="E-mail the corresponding author
;
Johan A.K. Suykens
关键词:
Multi
-
instance
classification
;
Kernel PCA
;
Kernel spectral clustering
刊名:Information Sciences
出版年:2017
4.
Weakly supervised vehicle detection in satellite images via
multi
-
instance
discriminative
learning
作者:
Liujuan Cao
caoliujuan@xmu.edu.cn
Author Vitae
;
Feng LuoAuthor Vitae
;
Li ChenAuthor Vitae
;
Yihan ShengAuthor Vitae
;
Haibin WangAuthor Vitae
;
Cheng Wang
;
Rongrong Ji
;
rrji@xmu.edu.cn
Author Vitae
关键词:
Multi
ple
instance
learning
;
Density estimation
;
Multi
ple
instance
SVM
;
Vehicle detection
刊名:Pattern Recognition
出版年:2017
5.
Diversified dictionaries for
multi
-
instance
learning
作者:
Maoying Qiao
a
;
Maoying.Qiao@student.uts.edu.au
Author Vitae
;
Liu Liu
a
;
Liu.Liu@student.uts.edu.au
Author Vitae
;
Jun Yu
b
;
yujun@hdu.edu.cn
Author Vitae
;
Chang Xu
c
;
changxu1989@gmail.com
Author Vitae
;
Dacheng Tao
c
;
Dacheng.Tao@uts.edu.au
Author Vitae
关键词:
Multi
-
instance
learning
;
Diversified
learning
;
Dictionary
learning
刊名:Pattern Recognition
出版年:2017
6.
A
multi
-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules
作者:
Peng Cao
a
;
b
;
caopeng@cse.neu.edu.cn
Author Vitae
;
Xiaoli Liu
a
;
b
Author Vitae
;
Jinzhu Yang
a
Author Vitae
;
Dazhe Zhao
a
;
b
Author Vitae
;
Wei Li
b
Author Vitae
;
Min Huang
c
;
d
Author Vitae
;
Osmar Zaiane
e
Author Vitae
关键词:
Lung nodule detection
;
False positive reduction
;
Classification
;
Imbalanced data
learning
;
Multi
-kernel
learning
;
Feature selection
刊名:Pattern Recognition
出版年:2017
7.
Designing
multi
-label classifiers that maximize F measures: State of the art
作者:
Ignazio Pillai
pillai@diee.unica.it" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Giorgio Fumera
;
fumera@diee.unica.it" class="auth_mail" title="E-mail the corresponding author
;
Author Vitae
;
Fabio Roli
roli@diee.unica.it" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Multi
-label classification
;
F measure
;
Learning
algorithms
;
Empirical utility maximization
;
Decision-theoretic approach
刊名:Pattern Recognition
出版年:2017
8.
Selective Weakly Supervised Human Detection under Arbitrary Poses
作者:
Yawei Cai
a
;
b
Author Vitae
;
Xiaosong Tan
a
;
b
Author Vitae
;
Xiaoyang Tan
a
;
b
;
x.tan@nuaa.edu.cn
Author Vitae
关键词:
Weakly supervised
learning
;
Human detection
;
Selective Weakly Supervised Detection (SWSD)
;
Multi
-
instance
learning
(MIL)
刊名:Pattern Recognition
出版年:2017
9.
DCAN: Deep contour-aware networks for object
instance
segmentation from histology images
作者:
Hao Chen
;
a
;
hchen@cse.cuhk.edu.hk
;
Xiaojuan Qi
a
;
Lequan Yu
a
;
Qi Dou
a
;
Jing Qin
b
;
Pheng-Ann Heng
a
关键词:
Histopathological image analysis
;
Deep contour-aware network
;
Deep
learning
;
Transfer
learning
;
Object detection
;
Instance
segmentation
刊名:Medical Image Analysis
出版年:2017
10.
Subspace ensemble
learning
via totally-corrective boosting for gait recognition
作者:
Guangkai Ma
a
;
1
;
Author Vitae
;
Yan Wang
b
;
1
Author Vitae
;
Ligang Wu
a
Author Vitae
关键词:
Subspace
learning
;
Totally-corrective boosting
;
Ensemble
learning
;
Gait recognition
刊名:Neurocomputing
出版年:2017
1
2
3
4
5
6
7
8
9
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