Skip to search formSkip to main contentSkip to account menu

One-shot learning

One-shot learning is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object… 
Wikipedia (opens in a new tab)

Related topics

Related topics

12 relations
Computer visionConditional random fieldConstellation modelFeature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Deep Learning shows very good performance when trained on large labeled data sets. The problem of training a deep net on a few or… 
2017
2017
One-Shot Learning in Discriminative Neural Networks
We consider the task of one-shot learning of visual categories. In this paper we explore a Bayesian procedure for updating a… 
2013
2013
Attribute-based knowledge transfer learning for human pose estimation
2013
2013
Binary image classification using genetic programming based on local binary patterns
Image classification represents an important task in machine learning and computer vision. To capture features covering a… 
2013
2013
Principal motion components for gesture recognition using a single-example
This paper introduces principal motion components (PMC), a new method for one-shot gesture recognition. In the considered… 
2012
2012
One-shot learning in the road sign problem
In this work, a one-shot learning solution to the t-maze road sign problem is presented. This problem consists in taking the… 
Review
2010
Review
2010
Generalizing over Several Learning Settings
We recapitulate inference from membership and equivalence queries, positive and negative samples. Regular languages cannot be… 
2010
2010
Learning and Invariance in a Family of Hierarchical Kernels
Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why… 
2007
2007
Demonstration of PLOW: A Dialogue System for One-Shot Task Learning
We describe a system that can learn new procedure models effectively from one demonstration by the user. Previous work to learn… 
1994
1994
How to make sigma-pi neural networks perform perfectly on regular training sets
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)