Hasil Pencarian - Mohammad Javad Shafiee

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  1. 1
    A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking.

    A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking. oleh Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong

    Diterbitkan 2015-01-01
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  2. 2
    Deep Randomly-Connected Conditional Random Fields For Image Segmentation

    Deep Randomly-Connected Conditional Random Fields For Image Segmentation oleh Mohammad Javad Shafiee, Alexander Wong, Paul Fieguth

    Diterbitkan 2017-01-01
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  3. 3
    Statistical conditional sampling for variable-resolution video compression.

    Statistical conditional sampling for variable-resolution video compression. oleh Alexander Wong, Mohammad Javad Shafiee, Zohreh Azimifar

    Diterbitkan 2012-01-01
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  4. 4
    StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity

    StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity oleh Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong

    Diterbitkan 2016-01-01
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  5. 5
    MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis

    MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis oleh Hossein Aboutalebi, Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Mohammad Javad Shafiee, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Amer Alaref, Alexander Wong, Alexander Wong, Alexander Wong

    Diterbitkan 2022-02-01
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  6. 6
    MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification

    MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification oleh Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules

    Diterbitkan 2018-01-01
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  7. 7
    Genetic Algorithms in Determining Optimal Capital Structure of Firms Accepted in Tehran Stock Exchange

    Genetic Algorithms in Determining Optimal Capital Structure of Firms Accepted in Tehran Stock Exchange oleh Mohammad Hossein Setayesh, Mostafa Kazemnejad, Mohammad Javad Shafiee

    Diterbitkan 2009-06-01
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  8. 8
    OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection

    OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection oleh Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong

    Diterbitkan 2021-07-01
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  9. 9
    Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model

    Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model oleh Edward Li, Mohammad Javad Shafiee, Farnoud Kazemzadeh, Alexander Wong

    Diterbitkan 2016-01-01
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  10. 10
    GenSyth: a new way to understand deep learning

    GenSyth: a new way to understand deep learning oleh Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li

    Diterbitkan 2019-09-01
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  11. 11
    GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks

    GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks oleh Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li

    Diterbitkan 2019-09-01
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  12. 12
    Memory-Efficient Continual Learning Object Segmentation for Long Videos

    Memory-Efficient Continual Learning Object Segmentation for Long Videos oleh Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul Fieguth

    Diterbitkan 2024-01-01
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  13. 13
    A Deep-Structured Fully Connected Random Field Model for Structured Inference

    A Deep-Structured Fully Connected Random Field Model for Structured Inference oleh Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiao Yu Wang

    Diterbitkan 2015-01-01
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  14. 14
    Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating

    Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating oleh Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong

    Diterbitkan 2024-01-01
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  15. 15
    Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework

    Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework oleh Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong

    Diterbitkan 2015-01-01
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  16. 16
    COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemistry data

    COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemis... oleh Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong

    Diterbitkan 2023-10-01
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  17. 17
    COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images

    COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images oleh Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong

    Diterbitkan 2021-12-01
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  18. 18
    Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model.

    Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model. oleh Ibrahim Ben Daya, Albert I H Chen, Mohammad Javad Shafiee, Alexander Wong, John T W Yeow

    Diterbitkan 2015-01-01
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  19. 19
    MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

    MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection oleh Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider

    Diterbitkan 2018-05-01
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