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Weak AI
Known as:
Applied AI
, Narrow AI
Weak AI (also known as narrow AI) is non-sentient artificial intelligence that is focused on one narrow task. Weak AI is defined in contrast to…
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Related topics
Related topics
15 relations
Artificial consciousness
Artificial general intelligence
Artificial intelligence in fiction
Behavior-based robotics
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Broader (1)
Artificial intelligence
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
A Robust Framework for Accurate Face Tracking
Ali Ahmed
Journal of Software
2017
Corpus ID: 32091512
Face detection and tracking are of the most challenging problems of the object tracking field because of the large variability of…
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2013
2013
Fatigue Life Prediction of Spot-Weld for Auto Body Based on Multiple Load Cases
Liling Zhang
,
Q. Jiang
,
Xuefeng Chen
,
Xu Wang
2013
Corpus ID: 60346927
Objectives: A typical modern car body (BIW) has about 4,000−6,000 spot welds. It is important for the automotive design engineers…
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2007
2007
Collective oscillations in trapped Bose-Einstein-condensed gases in the presence of weak disorder
G. Falco
,
A. Pelster
,
R. Graham
2007
Corpus ID: 54678097
The influence of a weak random potential on the collective modes of a trapped interacting Bose-Einstein condensate at zero…
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2007
2007
Hole transport and spin-orbit coupling in p-type GaAs nanostructures
B. Grbić
2007
Corpus ID: 123830180
In this thesis we investigate hole transport and spin-orbit coupling effects in ptype GaAs nanostructures. The interest in p-type…
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2005
2005
KRAINER splice sites ′ Determinants of the inherent strength of human 5
Xavier Roca
,
R. Sachidanandam
,
A. Krainer
2005
Corpus ID: 29403642
We previously showed that the authentic 5 splice site (5 ss) of the first exon in the human -globin gene is intrinsically…
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2005
2005
Novel likelihood estimation technique based on boosting detector
Haijing Wang
,
P. Li
,
Tianwen Zhang
IEEE International Conference on Image Processing
2005
Corpus ID: 13006853
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation…
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2004
2004
AdaBoost with totally corrective updates for fast face detection
Jan Sochman
,
Jiri Matas
Sixth IEEE International Conference on Automatic…
2004
Corpus ID: 1091244
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak…
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2000
2000
Weak Learners and Improved Rates of Convergence in Boosting
Shie Mannor
,
R. Meir
Neural Information Processing Systems
2000
Corpus ID: 10465674
The problem of constructing weak classifiers for boosting algorithms is studied. We present an algorithm that produces a linear…
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1992
1992
Fibrinolytic and anticoagulant complexes of low-molecular-weight heparin with tuftsin
B. Kudryashov
,
I. Ashmarin
,
L. Lyapina
,
V. Pastorova
Bulletin of experimental biology and medicine
1992
Corpus ID: 20899159
: The complex of immunopeptide taftsin with low-molecular heparin has been obtained. The complex has fibrinolytic and…
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1985
1985
On the Harris criterion for hierarchical lattices
B. Derrida
,
H. Dickinson
,
J. Yeomans
1985
Corpus ID: 120025006
The authors discuss the condition necessary for the Harris criteria to be valid on hierarchical lattices. They prove that…
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