28 Result(s)
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Muhammad Atif Tahir
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Article
Exudate and drusen classification in retinal images using bagged colour vector angles and inter colour local binary patterns
The presence of exudates is one of the most significant signs of Diabetic retinopathy (DR) whereas; white or tiny yellow deposits known as drusen mostly identify age-related macular degeneration (AMD). Exudate...
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Article
Open AccessSimultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer
In multiple-instance learning (MIL), the existing bag encoding and attention-based pooling approaches assume that the instances in the bag have no relationship among them. This assumption is unsuited, as the i...
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Chapter and Conference Paper
Laplacian Regularized Variational Few-Shot Learning for Image Classification
We propose a two-stage meta-learning approach for few-shot image classification. The first (training) stage is realised by exploiting stochastic variational approximation of true posterior distributions, via b...
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Article
Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications
Multiple instance learning (MIL) is a type of supervised learning, where instead of receiving a collection of individually labeled examples, the learner is given weakly labeled bags of instances. If the bag co...
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Chapter and Conference Paper
Humour Translation with Transformers
This paper presents the solution proposed by team FAST-MT to the shared tasks of JOKER CLEF 2022 Automatic pun and humour translation. State-of-the-art Transformer-based models are used to solve the three task...
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Living Reference Work Entry In depth
Flood Detection Using Social Media Big Data Streams
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Article
Feature selection for semi-supervised multi-target regression using genetic algorithm
Multi-target regression (MTR) is an exciting area of machine learning where the challenge is to predict the values of more than one target variables which can take on continuous values. These variables may or ...
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Chapter and Conference Paper
Medical Diagnostic by Data Bagging for Various Instances of Neural Network
Computer-aided diagnostics is hel** the medical experts for fast diagnostics, using machine learning and representation learning techniques. Various types of diagnostics are using the assistance of machine l...
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Chapter and Conference Paper
Deep Component Based Age Invariant Face Recognition in an Unconstrained Environment
Age Invariant face recognition is one of the challenging problems in pattern recognition. Most existing face recognition algorithms perform well under controlled conditions where the data set is collected with...
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Chapter and Conference Paper
Hybrid Vision Transformer for Domain Adaptable Person Re-identification
Person re-identification refers to finding person images taken from different cameras at different times. Supervised re-id methods rely on labeled dataset, which is usually not available in real word situation...
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Reference Work Entry In depth
Flood Detection Using Social Media Big Data Streams
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Article
Safe semi supervised multi-target regression (MTR-SAFER) for new targets learning
Multi-target regression (MTR) is a challenging research problem which aims to predict more than one continuous variable as output in a pattern. In recent time, a number of novel applications have increased int...
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Chapter and Conference Paper
Ensemble of Texture and Deep Learning Features for Finding Abnormalities in the Gastro-Intestinal Tract
An endoscopy is a strategy in which a specialist utilizes specific instruments to see and work on the inward vessels and organs of the body. This paper expects to predict the abnormalities and diseases in the ...
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Article
Modality identification for heterogeneous face recognition
Identifying the type of modalities of the query image which can be of types visual, NIR, digital camera, web camera etc. have been assumed to be available before face matching. This leads to a major drawback i...
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Chapter
Robust Face Recognition Using Kernel Collaborative Representation and Multi-scale Local Binary Patterns
The role of collaboration between classes is a key to capture discriminative information among the different classes of image samples and can lead to very good and robust recognition rates. One of the modern a...
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Article
Open AccessNovel geometric features for off-line writer identification
Writer identification is an important field in forensic document examination. Typically, a writer identification system consists of two main steps: feature extraction and matching and the performance depends s...
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Chapter and Conference Paper
An Aggregated Cross-Validation Framework for Computational Discovery of Disease-Associative Genes
Numerous computational techniques have been applied to identify vital features of gene expression datasets that aim to increase efficiency of biomedical applications. Classification of samples is an important ...
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Article
Open AccessTowards cloud based big data analytics for smart future cities
A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing such big data can answer a number of science, poli...
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Chapter and Conference Paper
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification
Multi-label classification in which each instance may belong to more than one class is a challenging research problem. Recently, a considerable amount of research has been concerned with the development of “go...
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Chapter
Making Early Predictions of the Accuracy of Machine Learning Classifiers
The accuracy of machine learning systems is a widely studied research topic. Established techniques such as cross validation predict the accuracy on unseen data of the classifier produced by applying a given l...
