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No matching items.
Generic object recognition with boosting
A. Opelt
,
A. Pinz
,
M. Fussenegger
, and
P. Auer
.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
28(3):416--431
(
2006
)
A. Opelt
,
A. Pinz
,
M. Fussenegger
, and
P. Auer
.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
28(3):416--431
(
2006
)
3 years and 8 months ago
by
mozaher
3
Boosting,
ROC-equal
background,
boosting
categorization,
cluttered
complex
databases,
error
extraction,
feature
generic
highly
hypotheses,
image
local
localization.
object
rate,
recognition,
region
supervised
technique,
vectors,
visual
weak
weakly
Boosting,
ROC-equal
background,
boosting
categorization,
cluttered
complex
databases,
error
extraction,
feature
generic
highly
hypotheses,
image
local
localization.
object
rate,
recognition,
region
supervised
technique,
vectors,
visual
weak
weakly
(0)
URL
DOI
TeX
Fuzzy knowledge representation, learning and optimization with Bayesian analysis in fuzzy semantic networks
M.N. Omri
.
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
(
1999
)
M.N. Omri
.
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
(
1999
)
3 years and 8 months ago
by
mozaher
1
(artificial
Bayes
Bayesian
Gallois
analysis
analysis,
descriptive
filtering,
fuzzy
goals,
graph
inductive
intelligence),
interfaces,
interpretation,
knowledge
language
languages,
lattice,
learning
method,
methods,
natural
net,
network,
networks,
objects
optimization
processingBayesian
representation
representation,
scheme,
semantic
systems,
technique,
unknown
user
verb,
word
(artificial
Bayes
Bayesian
Gallois
analysis
analysis,
descriptive
filtering,
fuzzy
goals,
graph
inductive
intelligence),
interfaces,
interpretation,
knowledge
language
languages,
lattice,
learning
method,
methods,
natural
net,
network,
networks,
objects
optimization
processingBayesian
representation
representation,
scheme,
semantic
systems,
technique,
unknown
user
verb,
word
(0)
URL
DOI
TeX
Gradient-based learning applied to document recognition
Y. Lecun
,
L. Bottou
,
Y. Bengio
, and
P. Haffner
.
Proceedings of the IEEE
86(11):2278--2324
(
1998
)
Y. Lecun
,
L. Bottou
,
Y. Bengio
, and
P. Haffner
.
Proceedings of the IEEE
86(11):2278--2324
(
1998
)
3 years and 8 months ago
by
mozaher
3
2D
GTN,
back-propagation,
backpropagation,
based
character
cheque
complex
convolution,
convolutional
decision
digit
document
extraction,
field
gradient
gradient-based
graph
handwritten
high-dimensional
language
learning
learning,
measure
minimization,
modeling,
multilayer
multimodule
network
networks,
neural
optical
patterns,
perceptrons,
performance
reading,
recognition
recognition,
recognizers,
segmentation
shape
surface
synthesis,
systems,
task,
technique,
transformer
variability,
2D
GTN,
back-propagation,
backpropagation,
based
character
cheque
complex
convolution,
convolutional
decision
digit
document
extraction,
field
gradient
gradient-based
graph
handwritten
high-dimensional
language
learning
learning,
measure
minimization,
modeling,
multilayer
multimodule
network
networks,
neural
optical
patterns,
perceptrons,
performance
reading,
recognition
recognition,
recognizers,
segmentation
shape
surface
synthesis,
systems,
task,
technique,
transformer
variability,
(0)
URL
DOI
TeX
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