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Multiple Kernel Learning for Dimensionality Reduction

IEEE transactions on pattern analysis and machine intelligence, 2011-06, Vol.33 (6), p.1147-1160

2011

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Learning a Scene Background Model via Classification

IEEE transactions on signal processing, 2009-05, Vol.57 (5), p.1641-1654

2009

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Toward automatic beam angle selection for pencil‐beam scanning proton liver treatments: A deep learning–based approach

Medical physics (Lancaster), 2022-07, Vol.49 (7), p.4293-4304

2022

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Regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling

IEEE transactions on image processing, 2011-03, Vol.20 (3), p.822-836

2011

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Fusing generic objectness and visual saliency for salient object detection

2011 International Conference on Computer Vision, 2011, p.914-921

2011

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From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model

CVPR 2011, 2011, p.2129-2136

2011

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Guided co-training for multi-view spectral clustering

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.4042-4046

2016

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Real-time tracking using trust-region methods

IEEE transactions on pattern analysis and machine intelligence, 2004-03, Vol.26 (3), p.397-402

2004

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Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.1420-1429

2018

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Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach

Biology (Basel, Switzerland), 2022-03, Vol.11 (4), p.490

2022

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See-Through-Text Grouping for Referring Image Segmentation

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.7453-7462

2019

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Decoupled Contrastive Learning

Computer Vision - ECCV 2022, 2022, Vol.13686, p.668-684

2022

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One-class anomaly detection via novelty normalization

Computer vision and image understanding, 2021-09, Vol.210, p.103226, Article 103226

2021

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ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification

IEEE transactions on image processing, 2023, Vol.32, p.3885-3896

2023

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Recursive reduction net for large-scale high-dimensional data

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.1903-1907

2016

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Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.13201-13210

2022

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ezGeno: an automatic model selection package for genomic data analysis

Bioinformatics, 2021-12, Vol.38 (1), p.30-37

2021

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Deep-net fusion to classify shots in concert videos

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.1383-1387

2017

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Representation and self-similarity of shapes

IEEE transactions on pattern analysis and machine intelligence, 2003-01, Vol.25 (1), p.86-99

2003

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Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning

Journal of clinical monitoring and computing, 2024-04, Vol.38 (2), p.271-279

2024

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A sparse linear model for saliency-guided decolorization

2013 IEEE International Conference on Image Processing, 2013, p.1105-1109

2013

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Contextual Proposal Network for Action Localization

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.766-775

2022

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Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup

IEEE transactions on multimedia, 2021, Vol.23, p.1731-1743

2021

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Efficient binary codes for extremely high-dimensional data

2014 IEEE International Conference on Image Processing (ICIP), 2014, p.2212-2216

2014

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Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping

International journal of computer vision, 2005-11, Vol.65 (1-2), p.73-96

2005

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Multiple Kernel Learning for Dimensionality Reduction

Learning a Scene Background Model via Classification

Toward automatic beam angle selection for pencil‐beam scanning proton liver treatments: A deep learning–based approach

Regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling

Fusing generic objectness and visual saliency for salient object detection

From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model

Guided co-training for multi-view spectral clustering

Real-time tracking using trust-region methods

Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach

See-Through-Text Grouping for Referring Image Segmentation

Decoupled Contrastive Learning

One-class anomaly detection via novelty normalization

ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification

Recursive reduction net for large-scale high-dimensional data

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

ezGeno: an automatic model selection package for genomic data analysis

Deep-net fusion to classify shots in concert videos

Representation and self-similarity of shapes

Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning

A sparse linear model for saliency-guided decolorization

Contextual Proposal Network for Action Localization

Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup

Efficient binary codes for extremely high-dimensional data

Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping

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