one-shot learning
Image Block Augmentation for One-Shot Learning
... One-Shot Learning. Previous works explored it by metric- learning and ...former one aims at learning a metric space in which the one-shot classification can be ...
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One-shot learning and big data with n = 2
... “one-shot learning” has been used to describe our ability – as humans – to correctly recognize and understand objects ...Successful one-shot learning requires the learner to ...
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One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features
... For one-shot learning gesture recognition, two important challenges are: how to extract distinctive features and how to learn a discriminative model from only one training sample per gesture ...
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KIT Lecture Translator: Multilingual Speech Translation with One Shot Learning
... To fulfill this task, we have developed a low-latency translation system adapted to the lecture domain which covers several language pairs. While the switch from traditional statistical ma- chine translation to neural ...
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One-Shot-Learning Gesture Recognition using HOG-HOF Features
... the one-shot-learning gesture recognition task introduced in the ChaLearn Gesture Challenge ...create one model and perform temporal segmentation simultaneously with recognition using Dynamic ...
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One-shot Learning with Siamese Networks for Environmental Audio
... One-shot learning with siamese networks has not been studied as widely in the con- text of audio as in computer ...for one-shot speaker ...that one-shot learning ...
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Face Recognition using One shot Learning
... represents one of the attractive research ...however, one algorithm that stands out in the event of limited dataset is one shot ...“One shot” means learning from a single ...
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Domain-adaptive discriminative one-shot learning of gestures
... approaches, one-shot learning and weakly supervised ...adaptations, one-shot learning can gain an enormous performance boost from utilising weakly supervised data from different ...
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Towards one shot learning for rare word translation with external experts
... For both language pairs, we used data from Europarl (version 7) (Koehn, 2005) and IWSLT17 (Cettolo et al., 2012) to train our neu- ral networks. For validation, we use the IWSLT validation set (dev2010) to select the ...
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Holographic Generative Memory: Neurally Inspired One-Shot Learning with Memory Augmented Neural Networks
... modulate learning allows a model to react quickly to data based on confidence in prediction, rather than just novelty of an ...modulating learning rate in neural networks and a new approach to knowledge ...
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Interactive Language Acquisition with One shot Visual Concept Learning through a Conversational Game
... words corresponding to object names have higher likelihoods of being written into the external mem- ory. The agent also successfully learns to use the external memory for storing the information extracted from the ...
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Distributional Modeling on a Diet: One shot Word Learning from Text Only
... Multi-shot learning. While our focus in this pa- per is on one-shot learning, we first test all mod- els in a multi-shot ...the one-shot ...the ...
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Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning
... the one-shot learning for video-based person re-Identification ...stepwise learning. We first initialize a CNN model using one labeled tracklet for each ...
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A Model of Zero Shot Learning of Spoken Language Understanding
... Because training sets for a new domain are small, or non-existent, learning is often an in- stance of Zero-shot or One-shot learning prob- lems (Palatucci et al., 2009; L. Fei-Fei; ...
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A Neural Framework for Low-Shot Learning
... program learning, a hierarchical generative ...to one-shot learning captures the underlying concept learning that happens in humans, and indeed their model achieves 97% accuracy on the ...
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Effect of using angles graded rings on learning jumping shot and free shot skills in basketball
... jumping shot from different places and the purpose of places variety is to confirm the safety of assistance instrument which used by experimental ...front shot which is prepared by Faez and Mouaid (1987) ...
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Teach me CPR now! Augmented learning for one shot teaching of cardiopulmonary resuscitation in out of hospital cardiac arrest
... All technologies described in the previous section are combined into one system that is developed by Harmsen (2018). OpenIMPRESS is a VR solution that allows a person to be virtually present with someone in a ...
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Multigrid One Shot Method for PDE Constrained Optimization Problems
... be attained in 85 optimization iterations [11]. However, it is to note that the final converged solution remains the same. This is another proof of numerical stability of the method. Also in any case, the total effort is ...
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Preferences for One Shot Resolution of Uncertainty and Allais Type Behavior
... for one-shot resolution of uncertainty (PORU), and show that they can be modeled using a single, static preference ...PORU, one needs to impose on these static preferences a property, negative ...
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Transductive multi-label zero-shot learning
... zero-shot learning in the case of multi-label classifica- ...from one another, it is indeed possible to decompose a multi-label ZSL problem into multiple single label ZSL problems and solve them ...
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