Domain Generalization for Object Recognition with Multi-task Autoencoders
- Muhammad Ghifary, W. Kleijn, Mengjie Zhang, D. Balduzzi
- Computer ScienceIEEE International Conference on Computer Vision
- 31 August 2015
This work proposes a new feature learning algorithm, Multi-Task Autoencoder (MTAE), that provides good generalization performance for cross-domain object recognition and evaluates the performance of the algorithm on benchmark image recognition datasets, where the task is to learn features from multiple datasets and to then predict the image label from unseen datasets.
A Survey on Evolutionary Computation Approaches to Feature Selection
- Bing Xue, Mengjie Zhang, Will N. Browne, X. Yao
- Computer ScienceIEEE Transactions on Evolutionary Computation
- 1 August 2016
This paper presents a comprehensive survey of the state-of-the-art work on EC for feature selection, which identifies the contributions of these different algorithms.
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
- Muhammad Ghifary, W. Kleijn, Mengjie Zhang, D. Balduzzi, Wen Li
- Computer ScienceEuropean Conference on Computer Vision
- 12 July 2016
A new model called Deep Reconstruction-Classification Network (DRCN), which jointly learns a shared encoding representation for two tasks: supervised classification of labeled source data, and unsupervised reconstruction of unlabeled target data, is designed.
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
- Bing Xue, Mengjie Zhang, Will N. Browne
- Computer ScienceIEEE Transactions on Cybernetics
- 1 December 2013
The experimental results show that the two PSO-based multi-objective algorithms can automatically evolve a set of nondominated solutions and the first algorithm outperforms the two conventional methods, the single objective method, and the two-stage algorithm.
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
- Muhammad Ghifary, D. Balduzzi, W. Kleijn, Mengjie Zhang
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 15 October 2015
This paper proposes Scatter Component Analyis (SCA), a fast representation learning algorithm that can be applied to both domain adaptation and domain generalization and shows that scatter can be used to establish a theoretical generalization bound in the case of domain adaptation.
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
- Bing Xue, Mengjie Zhang, Will N. Browne
- Computer ScienceApplied Soft Computing
- 1 May 2014
Evolving Deep Convolutional Neural Networks for Image Classification
- Y. Sun, Bing Xue, Mengjie Zhang, G. Yen
- Computer ScienceIEEE Transactions on Evolutionary Computation
- 30 October 2017
A new method using genetic algorithms for evolving the architectures and connection weight initialization values of a deep convolutional neural network to address image classification problems and a novel fitness evaluation method is proposed to speed up the heuristic search with substantially less computational resource.
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
- Y. Sun, Bing Xue, Mengjie Zhang, G. Yen, Jiancheng Lv
- Computer ScienceIEEE Transactions on Cybernetics
- 11 August 2018
This article proposes an automatic CNN architecture design method by using genetic algorithms, to effectively address the image classification tasks and shows the very comparable classification accuracy to the best one from manually designed and automatic + manually tuning CNNs, while consuming fewer computational resources.
Domain Adaptive Neural Networks for Object Recognition
- Muhammad Ghifary, W. Kleijn, Mengjie Zhang
- Computer SciencePacific Rim International Conference on…
- 21 September 2014
This work represents the first study of MMD measure in the context of neural networks and demonstrates that the MMD regularization is an effective tool to provide good domain adaptation models on both SURF features and raw image pixels of a particular image data set.
Automated Design of Production Scheduling Heuristics: A Review
- J. Branke, Su Nguyen, Christoph W. Pickardt, Mengjie Zhang
- BusinessIEEE Transactions on Evolutionary Computation
- 1 February 2016
The state-of-the-art approaches are summarized, suggesting a taxonomy, and providing the interested researchers and practitioners with guidelines for the design of hyper-heuristics in production scheduling are summarized and suggested.
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