Publications - Machine Learning SG

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition (2017)

An-An Liu Yu-Ting Su Wei-Zhi Nie Mohan Kankanhalli

feature learning cluster analysis multi task learning hierarchical clustering heuristic +6 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 263 citations Published 2017-01-01
Finding the Kinematic Base Frame of a Robot by Hand-Eye Calibration Using 3D Position Data (2017)

Liao Wu Hongliang Ren

robot calibration kinematics inverse kinematics robot kinematics industrial robot +6 more

IEEE Transactions on Automation Science and Engineering 36 citations Published 2017-01-01
Exploiting music play sequence for music recommendation (2017)

Zhiyong Cheng Jialie Shen Lei Zhu Mohan S. Kankanhalli Liqiang Nie

pop music automation word embedding recommender system feature learning natural language processing +5 more

Twenty-Sixth International Joint Conference on Artificial Intelligence 39 citations Published 2017-01-01
Efficient Object Instance Search Using Fuzzy Objects Matching. (2017)

Tan Yu Yuwei Wu Sreyasee Das Bhattacharjee Junsong Yuan

fuzzy logic object oriented design pattern recognition computer science artificial intelligence

AAAI 13 citations Published 2017-01-01
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis (2017)

Jian Zhao Lin Xiong Panasonic Karlekar Jayashree Jianshu Li Fang Zhao Zhecan Wang Panasonic Sugiri Pranata Panasonic Shengmei Shen Shuicheng Yan Jiashi Feng

facial recognition system transfer of learning computer vision nist computer science +6 more

Advances in Neural Information Processing Systems 94 citations Published 2017-01-01
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation (2017)

Zhao Zhang Yan Zhang Fanzhang Li Mingbo Zhao Li Zhang Shuicheng Yan

matrix norm metric discriminative model robustness subspace topology +6 more

Pattern Recognition 54 citations Published 2017-01-01
Dimension Reduction by Minimum Error Minimax Probability Machine (2017)

Shiji Song Yanshang Gong Yuli Zhang Gao Huang Guang-Bin Huang

sufficient dimension reduction linear discriminant analysis dimensionality reduction outlier minimax +6 more

systems man and cybernetics 15 citations Published 2017-01-01
Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets (2017)

Shengyu Nan Lei Sun Badong Chen Zhiping Lin Kar-Ann Toh

vector quantization quantization least squares support vector machine learning vector quantization data pre processing +6 more

IEEE Transactions on Neural Networks 31 citations Published 2017-01-01
Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. (2017)

Zhen Dong Su Jia Chi Zhang Mingtao Pei Yuwei Wu

facial recognition system nonlinear dimensionality reduction matrix positive definite matrix pattern recognition +2 more

AAAI 16 citations Published 2017-01-01
Correlation Alignment for Unsupervised Domain Adaptation (2017)

Baochen Sun Jiashi Feng Kate Saenko

linear discriminant analysis classifier subspace topology pattern recognition linear subspace +6 more

Domain Adaptation in Computer Vision Applications 87 citations Published 2017-01-01
Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography (2017)

Xiaojun Yu Qiaozhou Xiong Yuemei Luo Nanshuo Wang Lulu Wang Hong Liang Tey Linbo Liu

optical coherence tomography image resolution fingerprint lens biometrics +7 more

IEEE Photonics Technology Letters 20 citations Published 2017-01-01
Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras (2017)

Soumyabrata Dev Yee Hui Lee Stefan Winkler

image segmentation sky cloud computing color space segmentation +6 more

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 62 citations Published 2017-01-01
Augmenting decisions of taxi drivers through reinforcement learning for improving revenues (2017)

Tanvi Verma Pradeep Varakantham Sarit Kraus Hoong Chuin Lau

reinforcement learning computer science operations research scheduling machine learning +3 more

ICAPS 21 citations Published 2017-01-01
Anomaly Detection in Cyber Physical Systems Using Recurrent Neural Networks (2017)

Jonathan Goh Sridhar Adepu Marcus Tan Zi Shan Lee

unsupervised learning anomaly detection recurrent neural network cyber physical system testbed +7 more

2017 IEEE 18th International Symposium on High Assurance Systems Engineering (HASE) 128 citations Published 2017-01-01
An Ensemble of Kernel Ridge Regression for Multi-class Classification (2017)

Katuwal Rakesh Ponnuthurai Nagaratnam Suganthan

kernel regression variable kernel density estimation kernel kernel method principal component regression +6 more

international conference on conceptual structures 16 citations Published 2017-01-01
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images (2017)

Youyi Song Ee-Leng Tan Xudong Jiang Jie-Zhi Cheng Dong Ni Siping Chen Baiying Lei Tianfu Wang

scale space segmentation image segmentation segmentation based object categorization segmentation computer vision +6 more

IEEE Transactions on Medical Imaging 119 citations Published 2017-01-01
A new integrated symmetrical table for genetic codes. (2017)

Jian-Jun Shu

genetic code wobble base pair degeneracy salient coding +4 more

BioSystems 11 citations Published 2017-01-01
Structured Sequence Modeling with Graph Convolutional Recurrent Networks (2016)

Youngjoo Seo Michaël Defferrard Pierre Vandergheynst Xavier Bresson

deep learning convolutional neural network recurrent neural network mnist database treebank +5 more

arXiv preprint arXiv:1612.07659 17 citations Published 2016-12-22
Drug-target interaction prediction via class imbalance-aware ensemble learning (2016)

Ali Ezzat Min Wu Xiaoli Li Chee Keong Kwoh

ensemble learning machine learning data mining computer science artificial intelligence +5 more

BMC Bioinformatics 65 citations Published 2016-12-22
Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening. (2016)

Tien Yin Wong Neil M. Bressler

diabetic retinopathy deep learning medicine optometry artificial intelligence +1 more

JAMA 140 citations Published 2016-12-13

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Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition (2017)

Finding the Kinematic Base Frame of a Robot by Hand-Eye Calibration Using 3D Position Data (2017)

Exploiting music play sequence for music recommendation (2017)

Efficient Object Instance Search Using Fuzzy Objects Matching. (2017)

Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis (2017)

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation (2017)

Dimension Reduction by Minimum Error Minimax Probability Machine (2017)

Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets (2017)

Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. (2017)

Correlation Alignment for Unsupervised Domain Adaptation (2017)

Contrast Enhanced Subsurface Fingerprint Detection Using High-Speed Optical Coherence Tomography (2017)

Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras (2017)

Augmenting decisions of taxi drivers through reinforcement learning for improving revenues (2017)

Anomaly Detection in Cyber Physical Systems Using Recurrent Neural Networks (2017)

An Ensemble of Kernel Ridge Regression for Multi-class Classification (2017)

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images (2017)

A new integrated symmetrical table for genetic codes. (2017)

Structured Sequence Modeling with Graph Convolutional Recurrent Networks (2016)

Drug-target interaction prediction via class imbalance-aware ensemble learning (2016)

Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening. (2016)