Deep reconstruction models for image set classification
Image set classification finds its applications in a number of real-life scenarios such as classification from surveillance videos, multi-view camera networks and personal albums. Compared with single image based classification, it offers more promises and has therefore attracted significant researc...
| Main Authors: | Hayat, M., Bennamoun, M., An, Senjian |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE Computer Society
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/70275 |
Similar Items
Learning non-linear reconstruction models for image set classification
by: Hayat, M., et al.
Published: (2014)
by: Hayat, M., et al.
Published: (2014)
Reverse training: An efficient approach for image set classification
by: Hayat, M., et al.
Published: (2014)
by: Hayat, M., et al.
Published: (2014)
Deep Image Representations for Coral Image Classification
by: Mahmood, A., et al.
Published: (2018)
by: Mahmood, A., et al.
Published: (2018)
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification
by: Hayat, M., et al.
Published: (2016)
by: Hayat, M., et al.
Published: (2016)
Deep Learning for Coral Classification
by: Mahmood, A., et al.
Published: (2017)
by: Mahmood, A., et al.
Published: (2017)
Resfeats: Residual network based features for image classification
by: Mahmood, A., et al.
Published: (2018)
by: Mahmood, A., et al.
Published: (2018)
Contractive rectifier networks for nonlinear maximum margin classification
by: An, Senjian, et al.
Published: (2015)
by: An, Senjian, et al.
Published: (2015)
How can deep rectifier networks achieve linear separability and preserve distances?
by: An, Senjian, et al.
Published: (2015)
by: An, Senjian, et al.
Published: (2015)
Classification of corals in reflectance and fluorescence images using convolutional neural network representations
by: Xu, L., et al.
Published: (2018)
by: Xu, L., et al.
Published: (2018)
Response to "Ghost Numbers"
by: Hayat, M., et al.
Published: (2018)
by: Hayat, M., et al.
Published: (2018)
Deep learning for image classification
by: Koi, Chin Chong
Published: (2024)
by: Koi, Chin Chong
Published: (2024)
Human interaction prediction using deep temporal features
by: Ke, Q., et al.
Published: (2016)
by: Ke, Q., et al.
Published: (2016)
Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets
by: Yang, L., et al.
Published: (2017)
by: Yang, L., et al.
Published: (2017)
SkeletonNet: Mining Deep Part Features for 3-D Action Recognition
by: Ke, Q., et al.
Published: (2017)
by: Ke, Q., et al.
Published: (2017)
Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)
Antenna modeling and reconstruction accuracy of time domain-based image reconstruction in microwave tomography
by: Fhager, A., et al.
Published: (2013)
by: Fhager, A., et al.
Published: (2013)
Combining deep and handcrafted image features for MRI brain scan classification
by: Hasan, Ali M., et al.
Published: (2019)
by: Hasan, Ali M., et al.
Published: (2019)
Deep learning for an automated image-based stem cell classification
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023)
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023)
A comparison study of deep CNN models for brain tumor MRI image classification
by: Muhammad Imran, Mohd Ridzuan
Published: (2021)
by: Muhammad Imran, Mohd Ridzuan
Published: (2021)
Forward-looking sonar image registration using polar transform
by: Zhang, J., et al.
Published: (2016)
by: Zhang, J., et al.
Published: (2016)
Automatic annotation of coral reefs using deep learning
by: Mahmood, A., et al.
Published: (2016)
by: Mahmood, A., et al.
Published: (2016)
NSCT-based fusion method for forward-looking sonar image mosaic
by: Zhang, J., et al.
Published: (2017)
by: Zhang, J., et al.
Published: (2017)
Herbal plant image classification using transfer learning and fine-tuning deep learning model
by: Khalid, Fatimah, et al.
Published: (2024)
by: Khalid, Fatimah, et al.
Published: (2024)
Herbal plant image classification using transfer learning and fine-tuning deep learning model
by: Khalid, Fatimah, et al.
Published: (2024)
by: Khalid, Fatimah, et al.
Published: (2024)
GRA_Net: a deep learning model for classification of age and gender from facial images
by: Garain, Avishek, et al.
Published: (2021)
by: Garain, Avishek, et al.
Published: (2021)
An enhanced classification of bacteria pathogen on microscopy images using deep learning
by: Son Ali, Akbar, et al.
Published: (2021)
by: Son Ali, Akbar, et al.
Published: (2021)
Coral classification with hybrid feature representations
by: Mahmood, A., et al.
Published: (2016)
by: Mahmood, A., et al.
Published: (2016)
Investigation of deep learning model for vehicle classification
by: Ahsiah, Ismail, et al.
Published: (2026)
by: Ahsiah, Ismail, et al.
Published: (2026)
Deep action Classification: Toolset for benchmarking and visualizing action classification models
by: Khaw, Tatt Juen
Published: (2019)
by: Khaw, Tatt Juen
Published: (2019)
Attention-based multiscale deep learning with unsampled pixel utilization for hyperspectral image classification
by: AL-Kubaisi, Mohammed Ahmed, et al.
Published: (2023)
by: AL-Kubaisi, Mohammed Ahmed, et al.
Published: (2023)
Modelling and image reconstruction evaluation of a scintillation camera with silicone photomultiplier
by: Md Ali, Sham FIrdaus, et al.
Published: (2022)
by: Md Ali, Sham FIrdaus, et al.
Published: (2022)
Quantum state reconstruction of an oscillator network in an optomechanical setting
by: Moore, Darren W., et al.
Published: (2016)
by: Moore, Darren W., et al.
Published: (2016)
Development of predictive modeling and deep learning classification of taxi trip tolls
by: Al-Shoukry, Suhad, et al.
Published: (2022)
by: Al-Shoukry, Suhad, et al.
Published: (2022)
Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar
by: Ayub Ahmed, Omar
Published: (2022)
by: Ayub Ahmed, Omar
Published: (2022)
Pterygium classification using deep patch region-based anterior segment photographed images
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023)
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023)
Deep transfer learning application for automated ischemic classification in posterior fossa CT images
by: Muhd Suberi, Anis Azwani, et al.
Published: (2019)
by: Muhd Suberi, Anis Azwani, et al.
Published: (2019)
Ultrasonic tomography - image reconstruction algorithms
by: Rahiman, Mohd Hafiz Fazalul, et al.
Published: (2012)
by: Rahiman, Mohd Hafiz Fazalul, et al.
Published: (2012)
Ultrasonic tomography – image reconstruction algorithms
by: Rahiman, Mohd Hafiz Fazalul, et al.
Published: (2012)
by: Rahiman, Mohd Hafiz Fazalul, et al.
Published: (2012)
Deep learning-based classification model for botnet attack detection
by: Ahmed, Abdulghani Ali, et al.
Published: (2020)
by: Ahmed, Abdulghani Ali, et al.
Published: (2020)
Image classification for edge-cloud setting: a comparison study for OCR application
by: Kean, Kenneth Hoong Tan, et al.
Published: (2022)
by: Kean, Kenneth Hoong Tan, et al.
Published: (2022)
Similar Items
-
Learning non-linear reconstruction models for image set classification
by: Hayat, M., et al.
Published: (2014) -
Reverse training: An efficient approach for image set classification
by: Hayat, M., et al.
Published: (2014) -
Deep Image Representations for Coral Image Classification
by: Mahmood, A., et al.
Published: (2018) -
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification
by: Hayat, M., et al.
Published: (2016) -
Deep Learning for Coral Classification
by: Mahmood, A., et al.
Published: (2017)