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Chapter and Conference Paper
Exploring the Effect of Recipe Representation on Critique-Based Conversational Recommendation
Diet diversification can facilitate both positive health outcomes and greater enjoyment in food consumption. Case-based recommendation can play an important role to promote a more diverse diet by connecting us...
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Chapter and Conference Paper
The Bites Eclectic: Critique-Based Conversational Recommendation for Diversity-Focused Meal Planning
Diet diversification has been shown both to improve nutritional health outcomes and to promote greater enjoyment in food consumption. CBR has a rich history in direct recommendation of recipes and meal plannin...
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Chapter and Conference Paper
Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs Using Multi-scale and Conditional Adversarial Network
Dual-energy (DE) chest radiographs provide greater diagnostic information than standard radiographs by separating the image into bone and soft tissue, revealing suspicious lesions which may otherwise be obstru...
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Chapter and Conference Paper
Texture Descriptors for Classifying Sparse, Irregularly Sampled Optical Endomicroscopy Images
Optical endomicroscopy (OEM) is a novel real-time imaging technology that provides endoscopic images at the microscopic level. Clinical OEM procedures generate large datasets making their post procedural analy...
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Chapter and Conference Paper
Personalised Specific Curiosity for Computational Design Systems
The Personalised Curiosity Engine (PQE, pronounced “pique”) is a framework for computational design systems that models the curiosity of an individual user. This model is then used to synthesise designs that s...
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Chapter and Conference Paper
Bone Enhancement in Ultrasound Based on 3D Local Spectrum Variation for Percutaneous Scaphoid Fracture Fixation
This paper proposes a 3D local phase-symmetry-based bone enhancement technique to automatically identify weak bone responses in 3D ultrasound images of the wrist. The objective is to enable percutaneous fixati...
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Chapter and Conference Paper
Applying Machine Learning to the Problem of Choosing a Heuristic to Select the Variable Ordering for Cylindrical Algebraic Decomposition
Cylindrical algebraic decomposition(CAD) is a key tool in computational algebraic geometry, particularly for quantifier elimination over real-closed fields. When using CAD, there is often a choice for the orde...
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Chapter and Conference Paper
Problem Formulation for Truth-Table Invariant Cylindrical Algebraic Decomposition by Incremental Triangular Decomposition
Cylindrical algebraic decompositions (CADs) are a key tool for solving problems in real algebraic geometry and beyond. We recently presented a new CAD algorithm combining two advances: truth-table invariance, ...
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Chapter and Conference Paper
Understanding Branch Cuts of Expressions
We assume some standard choices for the branch cuts of a group of functions and consider the problem of then calculating the branch cuts of expressions involving those functions. Typical examples include the a...
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Chapter and Conference Paper
Optimising Problem Formulation for Cylindrical Algebraic Decomposition
Cylindrical algebraic decomposition (CAD) is an important tool for the study of real algebraic geometry with many applications both within mathematics and elsewhere. It is known to have doubly exponential comp...
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Chapter and Conference Paper
Alternative Formulas for Rating Prediction Using Collaborative Filtering
This paper proposes and evaluates several alternate design choices for common prediction metrics employed by neighborhood-based collaborative filtering approach. It first explores the role of different baselin...
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Chapter and Conference Paper
Task-Based Image Annotation and Retrieval
In order to address problems of information overload in digital imagery task domains we have developed an interactive approach to the capture and reuse of image context information. Our framework models differ...
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Chapter and Conference Paper
Using Data Mining for Modeling Personalized Maps
There has been a vast increase in the amount of spatial data that has become accessible in recent years, mirroring the continuing explosion in information available online. People browsing the Web can download...
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Chapter and Conference Paper
Managing Spatial Knowledge for Mobile Personalized Applications
The continuing explosion in the amount of readily available spatial data has given rise to significant problems in accessing the most task-relevant spatial information. At the same time, advances in mobile com...
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Chapter and Conference Paper
Registration and Integration for Fluoroscopy Device Enhancement
We investigated a method, motion compensated integration (MCI), for enhancing stent Contrast-to-Noise Ratio (CNR) such that stent deployment may be more easily assessed. MCI registers fluoroscopic frames on th...
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Chapter and Conference Paper
A Variational PDE Based Level Set Method for a Simultaneous Segmentation and Non-rigid Registration
A new variational PDE based level set method for a simultaneous image segmentation and non-rigid registration using prior shape and intensity information is presented. The segmentation is obtained by finding a...
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Chapter and Conference Paper
Some New Results on Non-rigid Correspondence and Classification of Curves
We present two new algorithms for correspondence and classification of planar curves in a non-rigid sense. In the first algorithm we define deforming energy based on aligning curves using certain of their prop...
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Chapter and Conference Paper
Context-Oriented Image Retrieval
In order to help address problems of information overload in digital imagery task domains, we have developed an interactive approach to the capture and reuse of image context information. Our framework models ...
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Chapter and Conference Paper
Critical Infrastructure Integration Modeling and Simulation
The protection of critical infrastructures, such as electrical power grids, has become a primary concern of many nation states in recent years. Critical infrastructures involve multi-dimensional, highly comple...
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Chapter
Interactive Television Personalization
The personalized Electronic Program Guide (pEPG) has been touted as a possible solution to the information overload problem faced by Digital TV (DTV) users. It leverages artificial intelligence and user profil...