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Wiley电子期刊(7)
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在“
Elsevier电子期刊
”中,
命中:
369
条,耗时:0.0420117 秒
在所有数据库中总计命中:
1,128
条
1.
Novel iterative approach using
generative
and discriminative
models
for classification with missing features
作者:
Mohammad Ahangar Kiasari
ahangar100@gmail.com
Author Vitae
;
Gil-Jin Jang
gjang@knu.ac.kr
Author Vitae
;
Minho Lee
;
mholee@gmail.com
Author Vitae
关键词:
Missing data imputation
;
Generative
and discriminative model
刊名:Neurocomputing
出版年:2017
2.
Automation of CAD
models
to BEM
models
for performance based goal-oriented design methods
作者:
Luis Santos
a
;
luis_sds82@berkeley.edu
;
Simon Schleicher
b
;
simon_s@berkeley.edu
;
Luisa Caldas
b
;
lcaldas@berkeley.edu
关键词:
Generative
design systems
;
Goal-oriented design
;
Energy optimization
;
Digital interfaces and fabrication
刊名:Building and Environment
出版年:2017
3.
Computational neuroimaging strategies for single patient predictions
作者:
K.E. Stephan
a
;
b
;
c
;
F. Schlagenhauf
d
;
e
;
Q.J.M. Huys
a
;
f
;
S. Raman
a
;
E.A. Aponte
a
;
K.H. Brodersen
a
;
L. Rigoux
a
;
c
;
R.J. Moran
b
;
g
;
J. Daunizeau
a
;
h
;
R.J. Dolan
b
;
i
;
K.J. Friston
b
;
A. Heinz
d
;
j
关键词:
Generative
model
;
fMRI
;
EEG
;
Bayesian
;
Model selection
;
Model comparison
;
Model evidence
;
Generative
embedding
;
Classification
;
Clustering
;
Computational psychiatry
;
Translational neuromodeling
刊名:NeuroImage
出版年:2017
4.
Human Connectomics across the Life Span
作者:
Xi-Nian Zuo
1
;
2
;
3
;
4
;
5
;
@
;
zuoxn@psych.ac.cn
;
zuoxinian@gmail.com
;
Ye He
1
;
2
;
3
;
6
;
Richard F. Betzel
7
;
Stan Colcombe
8
;
Olaf Sporns
6
;
Michael P. Milham
8
;
9
;
Michael.Milham@childmind.org
关键词:
brain network
;
connectomics
;
data sharing
;
generative
model
;
life-span development
;
normative trajectory
刊名:Trends in Cognitive Sciences
出版年:2017
5.
Predictive coarse-graining
作者:
Markus Schö
;
berl
a
;
m.schoeberl@tum.de
;
Nicholas Zabaras
b
;
c
;
nzabaras@gmail.com
;
Phaedon-Stelios Koutsourelakis
a
;
p.s.koutsourelakis@tum.de
关键词:
Coarse-graining
;
Generative
models
;
Bayesian
;
Uncertainty quantification
;
SPC/E water
;
Lattice systems
刊名:Journal of Computational Physics
出版年:2017
6.
Learning deep event
models
for crowd anomaly detection
作者:
Yachuang Feng
a
;
b
Author Vitae
;
Yuan Yuan
a
Author Vitae
;
Xiaoqiang Lu
a
;
luxq666666@gmail.com
Author Vitae
关键词:
Deep neural network
;
PCANet
;
Deep GMM
;
Crowded scene
;
Abnormal event detection
;
Video surveillance
刊名:Neurocomputing
出版年:2017
7.
Online multi-object tracking via robust collaborative model and sample selection
作者:
Mohamed A. Naiel
a
;
m_naiel@ece.concordia.ca
;
M. Omair Ahmad
;
a
;
omair@ece.concordia.ca
;
M.N.S. Swamy
a
;
swamy@ece.concordia.ca
;
Jongwoo Lim
b
;
jlim@hanyang.ac.kr
;
Ming-Hsuan Yang
c
;
mhyang@ucmerced.edu
关键词:
Multi-object tracking
;
Particle filter
;
Collaborative model
;
Sample selection
;
Sparse representation
刊名:Computer Vision and Image Understanding
出版年:2017
8.
Generative
models
of the human connectome
作者:
Richard F. Betzel
a
;
Andrea Avena-Koenigsberger
a
;
Joaquí
;
n Goñ
;
i
a
;
b
;
Ye He
c
;
Marcel A. de Reus
d
;
Alessandra Griffa
e
;
f
;
Petra E. Vé
;
rtes
g
;
Bratislav Mi&scaron
;
ic
a
;
Jean-Philippe Thiran
e
;
f
;
Patric Hagmann
e
;
f
;
Martijn van den Heuvel
d
;
Xi-Nian Zuo
c
;
Edward T. Bullmore
g
;
Olaf Sporns
a
;
b
;
osporns@indiana.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Graph theory
;
Generative
models
;
Connectome
刊名:NeuroImage
出版年:2016
9.
Model-driven processes and tools to design robot-based
generative
learning objects for computer science education
作者:
Vytautas &Scaron
;
tuikys
;
vytautas.stuikys@ktu.lt" class="auth_mail" title="E-mail the corresponding author
;
Renata Burbaitė
renata.burbaite@ktu.lt" class="auth_mail" title="E-mail the corresponding author
;
Kristina Bespalova
kristina.bespalova@ktu.lt" class="auth_mail" title="E-mail the corresponding author
;
Giedrius Ziberkas
giedrius.ziberkas@ktu.lt" class="auth_mail" title="E-mail the corresponding author
关键词:
Feature
models
;
Model transformation
;
Generative
learning objects (GLOs)
;
GLO design tool
;
Educational robots
刊名:Science of Computer Programming
出版年:2016
10.
Inducing wavelets into random fields via
generative
boosting
作者:
Jianwen Xie
;
Yang Lu
;
Song-Chun Zhu
;
Ying Nian Wu
;
ywu@stat.ucla.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Generative
models
;
Markov random fields
;
Simultaneous sparse coding
刊名:Applied and Computational Harmonic Analysis
出版年:2016
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