LAUSR

Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition

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1 Published in 2017 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2016.2519448

Abstract: Recent emergence of low-cost and easy-operating depth cameras has reinvigorated the research in skeleton-based human action recognition. However, most existing approaches overlook the intrinsic interdependencies between skeleton joints and action classes, thus suffering from unsatisfactory… read more here.

Keywords: action recognition; recognition; max margin; latent max ... See more keywords

Deep Max-Margin Discriminant Projection

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0 Published in 2019 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2018.2831792

Abstract: In this paper, a unified Bayesian max-margin discriminant projection framework is proposed, which is able to jointly learn the discriminant feature space and the max-margin classifier with different relationships between the latent representations and observations.… read more here.

Keywords: margin discriminant; discriminant projection; projection; max margin ... See more keywords

Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning.

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0 Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2020.3044915

Abstract: Deep probabilistic aspect models are widely utilized in document analysis to extract the semantic information and obtain descriptive topics. However, there are two problems that may affect their applications. One is that common words shared… read more here.

Keywords: topic; latent dirichlet; max margin; dirichlet allocation ... See more keywords

Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification

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0 Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2017.2705222

Abstract: In this paper, we build a multilabel image classifier using a general deep convolutional neural network (DCNN). We propose a novel objective function that consists of three parts, i.e., max-margin objective, max-correlation objective, and correntropy… read more here.

Keywords: multilabel image; max; max margin; margin ... See more keywords

Max-Margin Deep Generative Models for (Semi-)Supervised Learning

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0 Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2017.2766142

Abstract: Deep generative models (DGMs) can effectively capture the underlying distributions of complex data by learning multilayered representations and performing inference. However, it is relatively insufficient to boost the discriminative ability of DGMs. This paper presents… read more here.

Keywords: semi supervised; max margin; generative models; supervised learning ... See more keywords