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One-shot learning
One-shot learning is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object…
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Related topics
Related topics
12 relations
Computer vision
Conditional random field
Constellation model
Feature detection (computer vision)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Learning Multi-Step Robotic Tasks from Observation
Wonjoon Goo
,
S. Niekum
arXiv.org
2018
Corpus ID: 195347325
2018
2018
One-shot learning for RGB-D hand-held object recognition
Jian Sun
,
Yaohui Zhu
,
Shuqiang Jiang
International Conference on Internet Multimedia…
2018
Corpus ID: 52149723
With the advance of computer technology and smart device, many applications, such as face recognition and object recognition…
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2017
2017
Distributional model on a diet: One-shot word learning from text only
Su Wang
,
Stephen Roller
,
Katrin Erk
arXiv.org
2017
Corpus ID: 249608793
We test whether distributional models can do one-shot learning of definitional properties from text only. Using Bayesian models…
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2017
2017
Exponential scaling of neural algorithms - a future beyond Moore's Law?
J. Aimone
arXiv.org
2017
Corpus ID: 10807959
Although the brain has long been considered a potential inspiration for future computing, Moore's Law - the scaling property that…
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2015
2015
A Hybrid CRF/HMM for One-Shot Gesture Learning
Selma Belgacem
,
Clément Chatelain
,
T. Paquet
2015
Corpus ID: 61285502
This chapter deals with the characterization and the recognition of human gestures in videos. We propose a global…
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2014
2014
One-Shot Learning with Feedback for Multi-layered Convolutional Network
K. Fukushima
International Conference on Artificial Neural…
2014
Corpus ID: 34744017
This paper proposes an improved add-if-silent rule, which is suited for training intermediate layers of a multi-layered…
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2013
2013
Principal motion components for gesture recognition using a single-example
Hugo Jair Escalante
,
Isabelle M Guyon
,
V. Athitsos
,
Pat Jangyodsuk
,
Jun Wan
arXiv.org
2013
Corpus ID: 18089301
This paper introduces principal motion components (PMC), a new method for one-shot gesture recognition. In the considered…
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2011
2011
Online incremental one-shot learning of temporal sequences
R. Pinto
2011
Corpus ID: 57115389
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 RESUMO…
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2007
2007
Représentation et estimation statistique de modèles déformables pour la reconnaissance de formes et l'anatomie numérique
S. Allassonnière
2007
Corpus ID: 170203849
Cette these s'inscrit dans le domaine de l''analyse d'images en particulier d'un point de vue statistique, Dans la premiere…
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1996
1996
Learning and revising task-specific rules in ACT-R
N. Taatgen
1996
Corpus ID: 60506283
This paper discusses the problem of how to learn and revise rules for a new task. It will use the framework of the ACT-R theory…
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