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   Articles with "generalized zero" as a keyword



Stability analysis of discrete‐time systems with time‐varying delays: generalized zero equalities approach

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recommendations! Published in 2017 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.3613

Abstract: Summary This paper suggests a generalized zero equality lemma for summations, which leads to making a new Lyapunov–Krasovskii functional with more state terms in the summands and thus applying various zero equalities for deriving stability… read more here.

Keywords: discrete time; zero equalities; time varying; time ... See more keywords

Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning

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recommendations! Published in 2022 at "IEEE MultiMedia"

DOI: 10.1109/mmul.2022.3155541

Abstract: Due to the prosperous development of generative models, research works have achieved great success on the generalized zero-shot learning (GZSL) task. In most generative methods of GZSL, researchers try to utilize attributes and normally distributed… read more here.

Keywords: generalized zero; normal distribution; distribution; shot learning ... See more keywords

GZSL-Lite: A Lightweight Generalized Zero-Shot Learning Network for SSVEP-Based BCIs

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recommendations! Published in 2025 at "IEEE Transactions on Biomedical Engineering"

DOI: 10.1109/tbme.2025.3553204

Abstract: Generalized zero-shot learning (GZSL) networks offer promising avenues for the development of user-friendly steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs), aiming to alleviate the training burden on users. These networks only require the… read more here.

Keywords: shot learning; zero shot; network; ssvep based ... See more keywords

Fine-Grained Feature Generation for Generalized Zero-Shot Video Classification

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recommendations! Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3247167

Abstract: Generalized zero-shot video classification aims to train a classifier to classify videos including both seen and unseen classes. Since the unseen videos have no visual information during training, most existing methods rely on the generative… read more here.

Keywords: information; shot video; generalized zero; zero shot ... See more keywords

Self-Assembled Generative Framework for Generalized Zero-Shot Learning

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recommendations! Published in 2025 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2025.3531697

Abstract: Generative models have attracted much attention for handling the generalized zero-shot learning (GZSL) task recently. Most of the existing generative GZSL models are trained for visual feature synthesis by utilizing the unique semantic feature of… read more here.

Keywords: gzsl; framework; visual features; shot learning ... See more keywords

Rethinking Generalized Zero-Shot Learning: A Synthesized Per-Instance Attribute Perspective

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recommendations! Published in 2025 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2025.3607612

Abstract: Generalized zero-shot learning (GZSL) shows great potential for improving generalization to unseen classes in real-world scenarios. However, most GZSL methods depend on benchmark datasets with per-class attribute annotations, which creates a large semantic gap and… read more here.

Keywords: per instance; instance; attribute; class ... See more keywords

From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3151073

Abstract: Object detection, as one of the most important environment perception tasks for traffic safety in intelligent transportation systems, has been widely investigated recently. However, most of the researches focus on the fully supervised scenario, and… read more here.

Keywords: generalized zero; curriculum learning; shot detection; detection ... See more keywords
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Generalized Zero-shot Learning via Multi-modal Aggregated Posterior Aligning Neural Network

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recommendations! Published in 2020 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2020.3047546

Abstract: The visual-semantic gap between the visual space (visual features) and semantic space (semantic attributes) is one of the main problems in the Generalized Zero-Shot Learning (GZSL) task. The essence of this problem is that the… read more here.

Keywords: space; features semantic; visual features; semantic attributes ... See more keywords

Generalized Zero-Adjusted Models to Predict Medical Expenditures

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recommendations! Published in 2021 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2021/5874275

Abstract: In healthcare research, medical expenditure data for the elderly are typically semicontinuous and right-skewed, which involve a point mass at zero and may exhibit heteroscedasticity. The problem of a substantial proportion of zero values prevents… read more here.

Keywords: generalized zero; models predict; adjusted models; expenditure ... See more keywords