Analysis of GLCM Parameters for Textures Classification on UMD Database Images [PDF]
, 2015 Texture analysis is one of the most important techniques that have been used in image processing for many purposes, including image classification. The texture determines the region of a given gray level image, and reflects its relevant information ...
Lu, Joan, Mohamed, Alsadegh Saleh Saied
core
Hypernetwork functional image representation
, 2019 Motivated by the human way of memorizing images we introduce their functional representation, where an image is represented by a neural network. For this purpose, we construct a hypernetwork which takes an image and returns weights to the target network,
C Christopoulos +13 more
core +1 more source
Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network [PDF]
, 2014 Palmprint recognition has emerged as a substantial biometric based personal identification. Tow types of biometrics palmprint feature. high resolution feature that includes: minutia points, ridges and singular points that could be extracted for forensic applications.
Abukmeil, Mohanad AM +2 more
openaire
Quantum Classical Ridgelet Neural Network For Time Series Model
In this study, we present a quantum computing method that incorporates ridglet transforms into the quantum processing pipelines for time series data. Here, the Ridgelet neural network is integrated with a single-qubit quantum computing method, which improves feature extraction and forecasting capabilities.
Yadav, Bahadur, Mohanty, Sanjay Kumar
openaire +2 more sources
Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks
, 2023 The symmetry and geometry of input data are considered to be encoded in the internal data representation inside the neural network, but the specific encoding rule has been less investigated.
Ikeda, Masahiro +3 more
core
Textural features for fingerprint liveness detection [PDF]
, 2015 The main topic ofmy research during these three years concerned biometrics and in particular the Fingerprint Liveness Detection (FLD), namely the recognition of fake fingerprints.
Ghiani, Luca
core +1 more source
Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
In this study, we propose a novel model framework that integrates deep neural networks with the Ridgelet Transform. The Ridgelet Transform on Borel measurable functions is used for arbitrage detection on high-dimensional sparse structures. This transform also enhances the expressive power of neural networks, enabling them to capture complex and high ...
Yadav, Bahadur, Mohanty, Sanjay Kumar
openaire +2 more sources
Blur Classification using Ridgelet Transform and Feed Forward Neural Network [PDF]
International Journal of Image, Graphics and Signal Processing, 2014 Shamik Tiwari +3 more
openaire +1 more source
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier. [PDF]
PeerJ Comput Sci, 2021 Ramasamy LK +3 more
europepmc +1 more source
GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. [PDF]
Bioengineering (Basel), 2023 Sebastian A +3 more
europepmc +1 more source