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related tags
+
object
+
classification,
+
learning
+
learning,
+
(artificial
+
computer
+
intelligence),
+
vision,
+
statistical
+
nets,
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visual
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neural
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image
+
regions,
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feature
+
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pattern
concepts
tags
imported
image
recognition,
object
Bayesian
classification,
visual
detection,
vision,
extraction,
computer
learning
feature
network
networks,
semantic
analysis,
context
segmentation,
neural
(artificial
retrieval,
recognition
intelligence),
learning,
representation,
nets,
processing,
databases,
systems,
pattern
methods,
probabilistic
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No matching items.
Rapid object detection using a boosted cascade of simple features
P. Viola
, and
M. Jones
.
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
(
2001
)
P. Viola
, and
M. Jones
.
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
(
2001
)
3 years and 9 months ago
by
mozaher
6
(artificial
AdaBoost,
applications,
background
boosted
cascade,
classification,
classifiers,
detection
detection,
extraction,
face
feature
focus-of-attention
guarantees,
image
image,
integral
intelligence),
learning
learning,
machine
mechanism,
object
processing,
rapid
real-time
regions,
representation,
simple
specific
statistical
visual
(artificial
AdaBoost,
applications,
background
boosted
cascade,
classification,
classifiers,
detection
detection,
extraction,
face
feature
focus-of-attention
guarantees,
image
image,
integral
intelligence),
learning
learning,
machine
mechanism,
object
processing,
rapid
real-time
regions,
representation,
simple
specific
statistical
visual
(0)
URL
DOI
TeX
Automatic identification of perceptually important regions in an
W. Osberger
, and
A.J. Maeder
.
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on,
1,
page 701--704 vol.1.
(
1998
)
W. Osberger
, and
A.J. Maeder
.
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on,
1,
page 701--704 vol.1.
(
1998
)
3 years and 9 months ago
by
mozaher
1
Importance
Map,
attention
classification,
computer
databases,
image
importance,
important
machine
perceptual
regions,
segmentation,
vision,
visual
Importance
Map,
attention
classification,
computer
databases,
image
importance,
important
machine
perceptual
regions,
segmentation,
vision,
visual
(0)
URL
DOI
TeX
On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques
A. Joshi
,
N. Ramakrishman
,
E.N. Houstis
, and
J.R. Rice
.
Neural Networks, IEEE Transactions on
8(1):18--31
(
1997
)
A. Joshi
,
N. Ramakrishman
,
E.N. Houstis
, and
J.R. Rice
.
Neural Networks, IEEE Transactions on
8(1):18--31
(
1997
)
3 years and 9 months ago
by
mozaher
1
(artificial
adaptation,
algorithm,
analysis,
classes,
classification,
clustering,
fuzzy
human
intelligence),
learning
learning,
machine
method,
min-max
minimax
multiresolution
mutually
nets,
neural
neuro-fuzzy
neurobiological
nonexclusive
one-pass
online
pattern
recognition
recognition,
set
statistical
techniques,
theory,
(artificial
adaptation,
algorithm,
analysis,
classes,
classification,
clustering,
fuzzy
human
intelligence),
learning
learning,
machine
method,
min-max
minimax
multiresolution
mutually
nets,
neural
neuro-fuzzy
neurobiological
nonexclusive
one-pass
online
pattern
recognition
recognition,
set
statistical
techniques,
theory,
(0)
URL
DOI
TeX
Fuzzy kernel perceptron
Jiun-Hung Chen
, and
Chu-Song Chen
.
Neural Networks, IEEE Transactions on
13(6):1364--1373
(
2002
)
Jiun-Hung Chen
, and
Chu-Song Chen
.
Neural Networks, IEEE Transactions on
13(6):1364--1373
(
2002
)
3 years and 9 months ago
by
mozaher
2
(artificial
Mercer
classification,
feature
functions,
fuzzy
high-dimensional
intelligence),
kernel,
kernel-based
learning
learning,
machine
mapping
method,
nets,
neural
pattern
perceptron,
perceptrons,
space,
supervised
support
vector
(artificial
Mercer
classification,
feature
functions,
fuzzy
high-dimensional
intelligence),
kernel,
kernel-based
learning
learning,
machine
mapping
method,
nets,
neural
pattern
perceptron,
perceptrons,
space,
supervised
support
vector
(0)
URL
DOI
TeX
Object-based contextual image classification built on image segmentation
T. Blaschke
.
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on,
page 113--119.
(
2003
)
T. Blaschke
.
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on,
page 113--119.
(
2003
)
3 years and 9 months ago
by
mozaher
1
analysis,
based
classification,
contextual
database,
databases,
extraction,
field
geo
geographic
ground
high
human
image
imagery,
information
instantaneous
interpretation
machine
man
methods,
object
of
pixel
processing,
remote
resolution
segmentation,
sensing
sensing,
sensors,
skills,
spatial
system
systems,
theory,
view,
visual
analysis,
based
classification,
contextual
database,
databases,
extraction,
field
geo
geographic
ground
high
human
image
imagery,
information
instantaneous
interpretation
machine
man
methods,
object
of
pixel
processing,
remote
resolution
segmentation,
sensing
sensing,
sensors,
skills,
spatial
system
systems,
theory,
view,
visual
(0)
URL
DOI
TeX
Accuracy versus speed in context-based object detection
Niek Bergboer
,
Eric Postma
, and
Jaap van den Herik
.
Pattern Recognition Letters
28(6):686--694
(
April 2007
)
Niek Bergboer
,
Eric Postma
, and
Jaap van den Herik
.
Pattern Recognition Letters
28(6):686--694
(
April 2007
)
3 years and 9 months ago
by
mozaher
1
Computer
Face
Machine
Object
detection,
learning
vision,
Computer
Face
Machine
Object
detection,
learning
vision,
(0)
URL
DOI
TeX
Context-based object detection in still images
N.H. Bergboer
,
E.O. Postma
, and
H.J. van den Herik
.
Image and Vision Computing
24(9):987--1000
(
September 2006
)
N.H. Bergboer
,
E.O. Postma
, and
H.J. van den Herik
.
Image and Vision Computing
24(9):987--1000
(
September 2006
)
3 years and 9 months ago
by
mozaher
2
42.30.T,
Computer
Machine
Object
learning,
recognition
vision,
42.30.T,
Computer
Machine
Object
learning,
recognition
vision,
(0)
URL
DOI
TeX
Object Class Recognition Using NEAT-Evolved Artificial Neural Network
M.H. Abul Hasanat
,
S.Z. Harun
,
D. Ramachandram
, and
M. Rajeswari
.
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
(
August 2008
)
M.H. Abul Hasanat
,
S.Z. Harun
,
D. Ramachandram
, and
M. Rajeswari
.
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
(
August 2008
)
3 years and 9 months ago
by
mozaher
2
(artificial
ANN
Augmenting
Evolution
NEAT-evolved
Neuro
SIFT
Topologies,
art
artificial
class
classifier,
computer
descriptor
feature,
histograms,
intelligence),
learning
learning,
machine
nets,
network,
neural
object
of
recognition,
recognitionNEAT-evolved
robust
statistical
support
vector
vision,
(artificial
ANN
Augmenting
Evolution
NEAT-evolved
Neuro
SIFT
Topologies,
art
artificial
class
classifier,
computer
descriptor
feature,
histograms,
intelligence),
learning
learning,
machine
nets,
network,
neural
object
of
recognition,
recognitionNEAT-evolved
robust
statistical
support
vector
vision,
(0)
URL
DOI
TeX
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