Federation University Australia

∙ Mt Helen , Australia ∙ 0 followers

Federation University Australia is a public, dual-sector university based in Ballarat in Victoria, Australia.

Featured Researchers

Kai Ming Ting
12 publications
Peter Vamplew
8 publications
Guojun Lu
6 publications
Shyh Wei Teng
5 publications
Cameron Foale
5 publications
Manzur Murshed
4 publications
Jonathan R. Wells
3 publications
David Yang Gao
3 publications
Jiangang Ma
3 publications
Adam Bignold
3 publications
Md Tahmid Hossain
2 publications

An Attention-Based Approach for Single Image Super Resolution

The main challenge of single image super resolution (SISR) is the recove...
07/18/2018 ∙ by Yuan Liu, et al. ∙ 14 ∙ share

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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...
11/14/2018 ∙ by Md Tahmid Hossain, et al. ∙ 8 ∙ share

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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...
07/03/2017 ∙ by Jonathan R. Wells, et al. ∙ 0 ∙ share

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On Topology Optimization and Canonical Duality Method

The general problem in topology optimization is correctly formulated as ...
12/08/2017 ∙ by David Yang Gao, et al. ∙ 0 ∙ share

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Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation

Depth coding in 3D-HEVC for the multiview video plus depth (MVD) archite...
01/08/2018 ∙ by Shampa Shahriyar, et al. ∙ 0 ∙ share

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Hierarchical clustering that takes advantage of both density-peak and density-connectivity

This paper focuses on density-based clustering, particularly the Density...
10/08/2018 ∙ by Ye Zhu, et al. ∙ 0 ∙ share

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CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets

Many distance-based algorithms exhibit bias towards dense clusters in in...
10/05/2018 ∙ by Ye Zhu, et al. ∙ 0 ∙ share

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An Efficient Transfer Learning Technique by Using Final Fully-Connected Layer Output Features of Deep Networks

In this paper, we propose a computationally efficient transfer learning ...
11/19/2018 ∙ by Tasfia Shermin, et al. ∙ 0 ∙ share

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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...
11/14/2018 ∙ by Md Tahmid Hossain, et al. ∙ 0 ∙ share

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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 ...
11/26/2018 ∙ by David Yang Gao, et al. ∙ 0 ∙ share

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A new simple and effective measure for bag-of-word inter-document similarity measurement

To measure the similarity of two documents in the bag-of-words (BoW) vec...
02/09/2019 ∙ by Sunil Aryal, et al. ∙ 0 ∙ share

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Depth Augmented Networks with Optimal Fine-tuning

Convolutional neural networks (CNN) have been shown to achieve state-of-...
03/25/2019 ∙ by Tasfia Shermin, et al. ∙ 0 ∙ share

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Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel

We identify a fundamental issue in the popular Stochastic Neighbour Embe...
06/24/2019 ∙ by Ye Zhu, et al. ∙ 0 ∙ share

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Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering

A recent proposal of data dependent similarity called Isolation Kernel/S...
06/30/2019 ∙ by Xiaoyu Qin, et al. ∙ 0 ∙ share

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A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions

We report a previously unidentified issue with model-free, value-based a...
04/14/2020 ∙ by Peter Vamplew, et al. ∙ 0 ∙ share

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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)...
04/28/2020 ∙ by Durgesh Samariya, et al. ∙ 0 ∙ share

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Discrete-to-Deep Supervised Policy Learning

Neural networks are effective function approximators, but hard to train ...
05/05/2020 ∙ by Budi Kurniawan, et al. ∙ 0 ∙ share

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A Comprehensive Survey on Outlying Aspect Mining Methods

In recent years, researchers have become increasingly interested in outl...
05/06/2020 ∙ by Durgesh Samariya, et al. ∙ 0 ∙ share

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Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario

Robotic systems are more present in our society every day. In human-robo...
06/24/2020 ∙ by Francisco Cruz, et al. ∙ 0 ∙ share

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A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review

A long-term goal of reinforcement learning agents is to be able to perfo...
07/03/2020 ∙ by Adam Bignold, et al. ∙ 0 ∙ share

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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...
09/21/2020 ∙ by Adam Bignold, et al. ∙ 0 ∙ share

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