[HTML][HTML] Representing uncertainty and imprecision in machine learning: A survey on belief functions
Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …
event. How to better interpret and manage uncertainty and imprecision play a vital role in …
Multi-view intuitionistic fuzzy support vector machines with insensitive pinball loss for classification of noisy data
C Lou, X **e - Neurocomputing, 2023 - Elsevier
Multi-view support vector machines (MvSVMs) have been widely used to solve multi-view
classification problems. However, the conventional MvSVMs often overlook the presence of …
classification problems. However, the conventional MvSVMs often overlook the presence of …
[HTML][HTML] A texture-based approach for offline writer identification
T Bahram - Journal of King Saud University-Computer and …, 2022 - Elsevier
Offline handwriting has become a very important part in the field of behavioral biometrics. In
this paper, we proposed an approach to identify writers from their handwritten documents …
this paper, we proposed an approach to identify writers from their handwritten documents …
An effective DeepWINet CNN model for off-line text-independent writer identification
Writer identification based on handwriting recognition is considered one of the most
common research areas in pattern recognition and biometrics. It has attracted much …
common research areas in pattern recognition and biometrics. It has attracted much …
Length independent writer identification based on the fusion of deep and hand-crafted descriptors
Writer's identification from a handwritten text is one of the most challenging machines
learning problems because of the variable handwritten sources, various languages, the …
learning problems because of the variable handwritten sources, various languages, the …
WriterINet: a multi-path deep CNN for offline text-independent writer identification
Handwriting-based identification is a fundamental pattern recognition problem that has
attracted considerable interest in recent years. Writer identification is a major challenge …
attracted considerable interest in recent years. Writer identification is a major challenge …
Improving Arabic writer identification using score‐level fusion of textural descriptors
This paper investigates the problem of writer identification from handwriting samples in
Arabic. The proposed technique relies on extracting small fragments of writing which are …
Arabic. The proposed technique relies on extracting small fragments of writing which are …
[PDF][PDF] A hybrid system for handwritten character recognition with high robustness
Accepted: 20 March 2022 In the past few decades, the offline recognition of handwritten
Indic scripts has received much attention of researchers. Although an intensive research has …
Indic scripts has received much attention of researchers. Although an intensive research has …
Local gradient full-scale transform patterns based off-line text-independent writer identification
Handwriting based writer identification is one of the reliable components of behavioral
biometrics. A huge effort has been done in recent years to improve the writer identification …
biometrics. A huge effort has been done in recent years to improve the writer identification …
Support vector machines: A robust prediction method with applications in bioinformatics
A Van Messem - Handbook of Statistics, 2020 - Elsevier
Over the last decades, classification and regression problems have been studied
extensively. This research led to the development of a vast number of methods for solving …
extensively. This research led to the development of a vast number of methods for solving …