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Video Equipment and Video Shot Composition
Published 2021-07-01“… This 6-page publication about video equipment and video shot composition is part of a series on developing effective video production practices. …”
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Video Equipment and Video Shot Composition
Published 2012-06-01“…WC125/WC125: Video Equipment and Video Shot Composition (ufl.edu) …”
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Video Equipment and Video Shot Composition
Published 2012-06-01“…WC125/WC125: Video Equipment and Video Shot Composition (ufl.edu) …”
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Few-shot Learning: Methods and Applications
Published 2025-01-01“…The Few-shot learning (FSL) approach distills meaningful features from a constrained sample set, allowing models to swiftly adjust to novel tasks and decreasing the dependency on extensive datasets. …”
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Incidence, Characteristics, and Management of Patients with Recurrent Myocardial Infarctions: Insights from the EYESHOT POST-MI
Published 2022-01-01“…It is unknown whether patients who survived two or multiple episodes of myocardial infarction (MI) present different clinical characteristics and management than patients at their first MI. Methods. The EYESHOT post-MI was a prospective, observational, nationwide study aimed to evaluate the management of patients presenting to cardiologists 1 to 3 years from the last MI event. …”
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Shot-Noise Limited Time-Encoded Raman Spectroscopy
Published 2017-01-01“…Here, we analyze the detection sensitivity of a shot-noise limited broadband stimulated time-encoded Raman (TICO-Raman) system in detail. …”
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One-Shot Segmentation of Battery Cells with Gradual Learning
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Loss Architecture Search for Few-Shot Object Recognition
Published 2020-01-01“…Few-shot object recognition, which exploits a set of well-labeled data to build a classifier for new classes that have only several samples per class, has received extensive attention from the machine learning community. …”
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Zero-shot Learning for Subdiscrimination in Pre-trained Models
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Zero-Shot Classification of Art With Large Language Models
Published 2025-01-01“…In this study, we propose the zero-shot classification method to perform automatic annotation in data processing for art price prediction by leveraging large language models (LLMs). …”
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Occurrence of Tocols in Foods: An Updated Shot of Current Databases
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Zero-shot reranking with dense encoder models for news background linking
Published 2025-01-01“…To represent news articles in the semantic space, we compare multiple Transformer-based encoder models in a zero-shot setting without the need for any labeled data. …”
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Dual Generative Network with Discriminative Information for Generalized Zero-Shot Learning
Published 2021-01-01“…Zero-shot learning is dedicated to solving the classification problem of unseen categories, while generalized zero-shot learning aims to classify the samples selected from both seen classes and unseen classes, in which “seen” and “unseen” classes indicate whether they can be used in the training process, and if so, they indicate seen classes, and vice versa. …”
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Comprehensive Study on Zero-Shot Text Classification Using Category Mapping
Published 2025-01-01Subjects: Get full text
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Shot mechanical analysis according to shooting performance in youth basketball players
Published 2024-09-01“…Both groups attempted 60 shots from the free throw line (20 shots), right forward position (20 shots), and left forward position (20 shots). …”
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Analysis of KRAS Mutations of Exon 2 Codons 12 and 13 by SNaPshot Analysis in Comparison to Common DNA Sequencing
Published 2010-01-01“…Under this aspect, the sensitivity and specificity of the SNaPshot analysis in comparison to the commonly used DNA sequencing was checked. …”
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Zero-Shot Traffic Identification with Attribute and Graph-Based Representations for Edge Computing
Published 2025-01-01Subjects: Get full text
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Segment anything model for few-shot medical image segmentation with domain tuning
Published 2024-11-01Subjects: Get full text
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