7 Result(s)
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Chapter and Conference Paper
Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification
A process for generating a unifying motif-based homogeneous feature vector representation is described and evaluated. The motivation was to determine the viability of this representation as a unifying represen...
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Chapter and Conference Paper
Regression of Instance Boundary by Aggregated CNN and GCN
This paper proposes a straightforward, intuitive deep learning approach for (biomedical) image segmentation tasks. Different from the existing dense pixel classification methods, we develop a novel multi-level...
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Chapter and Conference Paper
Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration
A discriminative dictionary-based approach to supporting the classification of 3D Optical Coherence Tomography (OCT) retinal images, so as to determine the presence of Age-related Macular Degeneration (AMD), i...
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Chapter and Conference Paper
Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining
Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. This paper describes a new image mining technique to perform automated detection of AMD from colour fu...
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Chapter and Conference Paper
Time Series Case Based Reasoning for Image Categorisation
This paper describes an approach to Case Based Reasoning (CBR) for image categorisation. The technique is founded on a time series analysis mechanism whereby images are represented as time series (curves) and ...
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Chapter and Conference Paper
Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data
An approach to image mining is described that combines a histogram based representation with a time series analysis technique. More specifically a Dynamic Time War** (DTW) approach is applied to histogram re...
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Chapter and Conference Paper
Equivalence Knowledge Mass and Approximate Reasoning in \(\mathcal{R}\) –Logic \(\mathbb{C}_\mathcal{R}\) (I)
By casting off the direct restriction of topological structure, this paper presents another matching scheme between the input A ∗ and the knowledge A →B based on the equivalence relation ...
