
An AttentionBased Approach for Single Image Super Resolution
The main challenge of single image super resolution (SISR) is the recove...
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Distortion Robust Image Classification with Deep Convolutional Neural Network based on Discrete Cosine Transform
State of the art CNN models for image classification are found to be hig...
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A simple efficient density estimator that enables fast systematic search
This paper introduces a simple and efficient density estimator that enab...
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On Topology Optimization and Canonical Duality Method
The general problem in topology optimization is correctly formulated as ...
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Depth Sequence Coding with Hierarchical Partitioning and Spatialdomain Quantisation
Depth coding in 3DHEVC for the multiview video plus depth (MVD) archite...
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Hierarchical clustering that takes advantage of both densitypeak and densityconnectivity
This paper focuses on densitybased clustering, particularly the Density...
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CDF TransformShift: An effective way to deal with inhomogeneous density datasets
Many distancebased algorithms exhibit bias towards dense clusters in in...
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An Efficient Transfer Learning Technique by Using Final FullyConnected Layer Output Features of Deep Networks
In this paper, we propose a computationally efficient transfer learning ...
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Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform
Convolutional Neural Network is good at image classification. However, i...
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Canonical Duality Theory and Algorithm for Solving Bilevel Knapsack Problems with Applications
A novel canonical duality theory (CDT) is presented for solving general ...
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A new simple and effective measure for bagofword interdocument similarity measurement
To measure the similarity of two documents in the bagofwords (BoW) vec...
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Depth Augmented Networks with Optimal Finetuning
Convolutional neural networks (CNN) have been shown to achieve stateof...
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Improving Stochastic Neighbour Embedding fundamentally with a welldefined datadependent kernel
We identify a fundamental issue in the popular Stochastic Neighbour Embe...
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NearestNeighbourInduced Isolation Similarity and its Impact on DensityBased Clustering
A recent proposal of data dependent similarity called Isolation Kernel/S...
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A Demonstration of Issues with ValueBased Multiobjective Reinforcement Learning Under Stochastic State Transitions
We report a previously unidentified issue with modelfree, valuebased a...
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A new effective and efficient measure for outlying aspect mining
Outlying Aspect Mining (OAM) aims to find the subspaces (a.k.a. aspects)...
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DiscretetoDeep Supervised Policy Learning
Neural networks are effective function approximators, but hard to train ...
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A Comprehensive Survey on Outlying Aspect Mining Methods
In recent years, researchers have become increasingly interested in outl...
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Explainable robotic systems: Interpreting outcomefocused actions in a reinforcement learning scenario
Robotic systems are more present in our society every day. In humanrobo...
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A Conceptual Framework for Externallyinfluenced Agents: An Assisted Reinforcement Learning Review
A longterm goal of reinforcement learning agents is to be able to perfo...
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Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
Reinforcement learning is an approach used by intelligent agents to auto...
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Federation University Australia
Federation University Australia is a public, dualsector university based in Ballarat in Victoria, Australia.