The University of Queensland

∙ Saint Lucia , Australia ∙ 0 followers

The University of Queensland is a public research university primarily located in Queensland's capital city, Brisbane, Australia.

Cyber Attack Detection thanks to Machine Learning Algorithms

Cybersecurity attacks are growing both in frequency and sophistication o...
01/17/2020 ∙ by Antoine Delplace, et al. ∙ 66 ∙ share

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Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies

Shapley values have become increasingly popular in the machine learning ...
07/12/2020 ∙ by Daniel Vidali Fryer, et al. ∙ 52 ∙ share

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Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction

As the number of various positioning sensors and location-based devices ...
12/18/2018 ∙ by Seongjin Choi, et al. ∙ 22 ∙ share

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DBRec: Dual-Bridging Recommendation via Discovering Latent Groups

In recommender systems, the user-item interaction data is usually sparse...
09/27/2019 ∙ by Jingwei Ma, et al. ∙ 20 ∙ share

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Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors

The impressive performance of deep convolutional neural networks in sing...
04/14/2020 ∙ by Mateusz Michalkiewicz, et al. ∙ 20 ∙ share

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Implicitly Defined Layers in Neural Networks

In conventional formulations of multilayer feedforward neural networks, ...
03/03/2020 ∙ by Qianggong Zhang, et al. ∙ 19 ∙ share

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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph

In recent years, ride-hailing services have been increasingly prevalent ...
01/04/2021 ∙ by Yuandong Wang, et al. ∙ 14 ∙ share

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3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification

In this paper, we introduce a global video representation to video-based...
12/26/2018 ∙ by Lin Wu, et al. ∙ 12 ∙ share

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ZSTAD: Zero-Shot Temporal Activity Detection

An integral part of video analysis and surveillance is temporal activity...
03/12/2020 ∙ by Lingling Zhang, et al. ∙ 12 ∙ share

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Few-Shot Deep Adversarial Learning for Video-based Person Re-identification

Video-based person re-identification (re-ID) refers to matching people a...
03/29/2019 ∙ by Lin Wu, et al. ∙ 8 ∙ share

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Estimation of Classification Rules from Partially Classified Data

We consider the situation where the observed sample contains some observ...
04/13/2020 ∙ by Geoffrey J. McLachlan, et al. ∙ 8 ∙ share

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Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification

Video-based person re-identification (re-id) is a central application in...
08/03/2018 ∙ by Lin Wu, et al. ∙ 6 ∙ share

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Adversarial Bipartite Graph Learning for Video Domain Adaptation

Domain adaptation techniques, which focus on adapting models between dis...
07/31/2020 ∙ by Yadan Luo, et al. ∙ 6 ∙ share

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Deep neural network or dermatologist?

Deep learning techniques have proven high accuracy for identifying melan...
08/19/2019 ∙ by Kyle Young, et al. ∙ 4 ∙ share

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Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches

Zero-shot learning (ZSL) is commonly used to address the very pervasive ...
07/27/2020 ∙ by Zhi Chen, et al. ∙ 4 ∙ share

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Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics

We propose a neural network architecture, called TransNet, that combines...
07/09/2019 ∙ by Nicholas Collins, et al. ∙ 3 ∙ share

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Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Histopathology image analysis can be considered as a Multiple instance l...
06/24/2019 ∙ by Meng Li, et al. ∙ 1 ∙ share

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ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs

Single-source and top-k SimRank queries are two important types of simil...
09/20/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition

This work tackles the face recognition task on images captured using the...
12/07/2017 ∙ by Teng Zhang, et al. ∙ 0 ∙ share

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GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

For distributed computing environments, we consider the canonical machin...
09/11/2017 ∙ by Shusen Wang, et al. ∙ 0 ∙ share

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Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study

The resurgence of deep learning, as a highly effective machine learning ...
08/25/2017 ∙ by Peng Xu, et al. ∙ 0 ∙ share

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Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information

We consider variants of trust-region and cubic regularization methods fo...
08/23/2017 ∙ by Peng Xu, et al. ∙ 0 ∙ share

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Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition

Fine-grained visual recognition typically depends on modeling subtle dif...
09/18/2017 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-view data clustering attracts more attention than their single vie...
09/05/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Finding Modes by Probabilistic Hypergraphs Shifting

In this paper, we develop a novel paradigm, namely hypergraph shift, to ...
04/12/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering

Low-Rank Representation (LRR) is arguably one of the most powerful parad...
08/04/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Do Reichenbachian Common Cause Systems of Arbitrary Finite Size Exist?

The principle of common cause asserts that positive correlations between...
02/28/2017 ∙ by Claudio Mazzola, et al. ∙ 0 ∙ share

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From Community Detection to Community Profiling

Most existing community-related studies focus on detection, which aim to...
01/17/2017 ∙ by Hongyun Cai, et al. ∙ 0 ∙ share

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Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search

Mobile landmark search (MLS) recently receives increasing attention for ...
07/13/2017 ∙ by Lei Zhu, et al. ∙ 0 ∙ share

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Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification

Person re-identification (re-id) aims to match pedestrians observed by d...
06/10/2017 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Using Simulated Annealing to Calculate the Trembles of Trembling Hand Perfection

Within the literature on non-cooperative game theory, there have been a ...
09/10/2003 ∙ by Stuart McDonald, et al. ∙ 0 ∙ share

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Determining the best attributes for surveillance video keywords generation

Automatic video keyword generation is one of the key ingredients in redu...
02/21/2016 ∙ by Liangchen Liu, et al. ∙ 0 ∙ share

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A Stochastic Process Model of Classical Search

Among classical search algorithms with the same heuristic information, w...
11/27/2015 ∙ by Dimitri Klimenko, et al. ∙ 0 ∙ share

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Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks

This work shows that it is possible to fool/attack recent state-of-the-a...
12/22/2017 ∙ by Siqi Yang, et al. ∙ 0 ∙ share

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Binary Subspace Coding for Query-by-Image Video Retrieval

The query-by-image video retrieval (QBIVR) task has been attracting cons...
12/06/2016 ∙ by Ruicong Xu, et al. ∙ 0 ∙ share

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What is the Best Way for Extracting Meaningful Attributes from Pictures?

Automatic attribute discovery methods have gained in popularity to extra...
10/17/2016 ∙ by Liangchen Liu, et al. ∙ 0 ∙ share

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Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps

Instance retrieval requires one to search for images that contain a part...
06/22/2016 ∙ by Jiewei Cao, et al. ∙ 0 ∙ share

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Zero-Shot Hashing via Transferring Supervised Knowledge

Hashing has shown its efficiency and effectiveness in facilitating large...
06/16/2016 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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Automatic and Quantitative evaluation of attribute discovery methods

Many automatic attribute discovery methods have been developed to extrac...
02/05/2016 ∙ by Liangchen Liu, et al. ∙ 0 ∙ share

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Order-aware Convolutional Pooling for Video Based Action Recognition

Most video based action recognition approaches create the video-level re...
01/31/2016 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition

Encouraged by the success of Convolutional Neural Networks (CNNs) in ima...
03/04/2015 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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A Discriminative CNN Video Representation for Event Detection

In this paper, we propose a discriminative video representation for even...
11/14/2014 ∙ by Zhongwen Xu, et al. ∙ 0 ∙ share

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Hashing for Similarity Search: A Survey

Similarity search (nearest neighbor search) is a problem of pursuing the...
08/13/2014 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification

Recently, there has been a growing interest in developing Computer Aided...
07/28/2014 ∙ by Arnold Wiliem, et al. ∙ 0 ∙ share

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Face Identification with Second-Order Pooling

Automatic face recognition has received significant performance improvem...
06/26/2014 ∙ by Fumin Shen, et al. ∙ 0 ∙ share

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Face Image Classification by Pooling Raw Features

We propose a very simple, efficient yet surprisingly effective feature e...
06/26/2014 ∙ by Fumin Shen, et al. ∙ 0 ∙ share

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A Very Fast Algorithm for Matrix Factorization

We present a very fast algorithm for general matrix factorization of a d...
11/02/2010 ∙ by Vladimir Nikulin, et al. ∙ 0 ∙ share

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The Parameter-Less Self-Organizing Map algorithm

The Parameter-Less Self-Organizing Map (PLSOM) is a new neural network a...
05/02/2007 ∙ by Erik Berglund, et al. ∙ 0 ∙ share

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Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

The proliferation of social media in communication and information disse...
04/20/2017 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Bidirectional Long-Short Term Memory for Video Description

Video captioning has been attracting broad research attention in multime...
06/15/2016 ∙ by Yi Bin, et al. ∙ 0 ∙ share

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