Sparse Image and Signal Processing

Sparse Image and Signal Processing

Bibliografske podrobnosti
Glavni avtor:	Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili
Format:	Elektronski eKnjiga
Jezik:	English
Izdano:	Cambridge University Press, 07/06/2010
Izdaja:	1
Teme:	Computational statistics, machine learning and information science Computer Graphics, Image Processing and Robotics Electronic books
Online dostop:	Full text available on Cambridge University Press Off-campus access

Podobne knjige/članki

Numerical Methods of Statistics
od: John F. Monahan
Izdano: (2011)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
od: Chowdhury, Himadri, et al.
Izdano: (2019)

An efficient ML approach to detect brain tumor using MRI images
od: Muktadir, MD. Arafat, et al.
Izdano: (2024)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
od: Ahmed, Yasin, et al.
Izdano: (2018)

Monitoring of endangered fish using image processing and AI tools
od: Hossain, Naheen, et al.
Izdano: (2019)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
od: Sharma, Tanmoyee, et al.
Izdano: (2021)

Random processes for image and signal processing /
od: Dougherty, Edward R.
Izdano: (1999)

Fake profile detection in social media using image processing and machine learning
od: Sen, Shuva, et al.
Izdano: (2021)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
od: Abir, Tawhidur Rahman, et al.
Izdano: (2019)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, et al.
Izdano: (2022)

Road sign detection and translation in Bangla using image processing and machine learning
od: Islam, Khalid Amirul, et al.
Izdano: (2019)

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
od: Saleque, Shahriar, et al.
Izdano: (2021)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
od: Datta, Anurag, et al.
Izdano: (2022)

Classification of retinal diseases from OCT images using deep learning models
od: Mokarrom, Md Saif, et al.
Izdano: (2024)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
od: Mizan, Mubasshira, et al.
Izdano: (2024)

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, et al.
Izdano: (2023)

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
od: Rafi, Ahmad Abdur, et al.
Izdano: (2023)

Reconstruction of images with RPCA and augmenting 3D model
od: Tahiti, Tasnia Jasim, et al.
Izdano: (2022)

Cancer classification using deep learning from medical image data
od: Monir, Raiyan Janik, et al.
Izdano: (2022)

Digital geometry : geometric methods for digital picture analysis /
od: Klette, Reinhard
Izdano: (2004)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, et al.
Izdano: (2023)

Classification of different magnetic structures from image data using deep neural networks
od: Ibn Hasib, Fahad, et al.
Izdano: (2023)

Automated image caption generator in Bangla using multimodal learning
od: Rodoshi, Mashiat Hasin, et al.
Izdano: (2023)

Damaged road detection using Image Processing and Deep Learning
od: Swadesh, Shimran Mahbub, et al.
Izdano: (2022)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
od: Rahman, Aryan, et al.
Izdano: (2023)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, et al.
Izdano: (2023)

Brain tumor detection through image processing
od: Azmim, Tahaziba, et al.
Izdano: (2021)

Learning in graphical models /
Izdano: (1998)

The visual display of quantitative information /
od: Tufte, Edward R., 1942-
Izdano: (2006)

ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
od: Dipto, Shakib Mahmud
Izdano: (2024)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
od: Haque, Samiha, et al.
Izdano: (2021)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
od: Raizan, Syed Ahsan, et al.
Izdano: (2021)

Image processing, analysis, and machine vision /
od: Sonka, Milan
Izdano: (2008)

Detecting Deepfake images using deep convolutional neural network
od: Dhar, Arpita, et al.
Izdano: (2022)

RetinalNet-500: a newly developed CNN model for eye disease detection
od: Toki, Sadikul Alim, et al.
Izdano: (2023)

Analysis of the impact of online education using EEG signals and machine learning algorithms
od: Hoque, Ehsanul, et al.
Izdano: (2021)

Deep learning : foundations and concepts /
od: Bishop, Christopher M.
Izdano: (2024)

An efficient way to convert 1D signal to 2D digital image using energy values
od: Azad, Muntasir, et al.
Izdano: (2018)

Full stack development of UBERA system
od: An Noor, Akib
Izdano: (2024)

Analysis of deep learning models on low-light pest detection
od: Irtiza, Md. Samin, et al.
Izdano: (2023)