Chin-Chia Michael Yeh

According to our database, Chin-Chia Michael Yeh authored at least 78 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.

Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

ACM Trans. Interact. Intell. Syst., March, 2024

Random Projection Layers for Multidimensional Time Series Forecasting.

Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang

CoRR, 2024

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.

Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang

CoRR, 2024

2023

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.

Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., June, 2023

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.

Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang

IEEE Trans. Vis. Comput. Graph., 2023

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning.

Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma

CoRR, 2023

Multitask Learning for Time Series Data with 2D Convolution.

Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

CoRR, 2023

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.

Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary

CoRR, 2023

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.

Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang

CoRR, 2023

Sharpness-Aware Graph Collaborative Filtering.

Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation.

Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hessian-aware Quantized Node Embeddings for Recommendation.

Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Adversarial Collaborative Filtering for Free.

Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding.

Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.

Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multitask Learning for Time Series Data with 2D Convolution.

Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.

Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.

Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward a Foundation Model for Time Series Data.

Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Efficient Content-based Time Series Retrieval System.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Sketching Multidimensional Time Series for Fast Discord Mining.

Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

Ego-Network Transformer for Subsequence Classification in Time Series Data.

Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2023

Time Series Synthesis Using the Matrix Profile for Anonymization.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Visual Analytics for RNN-Based Deep Reinforcement Learning.

Junpeng Wang, Wei Zhang, Hao Yang, Chin-Chia Michael Yeh, Liang Wang

IEEE Trans. Vis. Comput. Graph., 2022

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems.

Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series.

Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.

Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Denoising Self-Attentive Sequential Recommendation.

Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph.

Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis.

Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Normalization of Language Embeddings for Cross-Lingual Alignment.

Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips

Proceedings of the Tenth International Conference on Learning Representations, 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.

Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Learning from Disagreement for Event Detection.

Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

Dynamic Graph Node Classification via Time Augmentation.

Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.

Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.

Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

CoRR, 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems.

Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data.

Jingzhu He, Chin-Chia Michael Yeh, Yanhong Wu, Liang Wang, Wei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.

Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Constrained Non-Affine Alignment of Embeddings.

Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips

Proceedings of the IEEE International Conference on Data Mining, 2021

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.

Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2020

Multi-stream RNN for Merchant Transaction Prediction.

Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang

CoRR, 2020

Multi-future Merchant Transaction Prediction.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Towards a Flexible Embedding Learning Framework.

Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries.

Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Merchant Category Identification Using Credit Card Transactions.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Fast Similarity Matrix Profile for Music Analysis and Exploration.

Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh

IEEE Trans. Multim., 2019

The UCR time series archive.

Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh

IEEE CAA J. Autom. Sinica, 2019

Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2019

Domain agnostic online semantic segmentation for multi-dimensional time series.

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2019

Online Amnestic DTW to allow Real-Time Golden Batch Monitoring.

Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile.

Chin-Chia Michael Yeh

PhD thesis, 2018

Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins.

Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh

Knowl. Inf. Syst., 2018

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2018

Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile.

Chin-Chia Michael Yeh

CoRR, 2018

Representation Learning by Reconstructing Neighborhoods.

Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh

CoRR, 2018

Time Series Classification to Improve Poultry Welfare.

Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds.

Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes.

Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh

Proc. VLDB Endow., 2017

Matrix Profile VI: Meaningful Multidimensional Motif Discovery.

Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels.

Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

SiMPle: Assessing Music Similarity Using Subsequences Joins.

Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.

Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series.

Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval.

Li Su, Chin-Chia Michael Yeh, Jen-Yu Liu, Ju-Chiang Wang, Yi-Hsuan Yang

IEEE Trans. Multim., 2014

AWtoolbox: Characterizing Audio Information Using Audio Words.

Chin-Chia Michael Yeh, Ping-Keng Jao, Yi-Hsuan Yang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Improving music auto-tagging by intra-song instance bagging.

Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang

Proceedings of the IEEE International Conference on Acoustics, 2014

Modified lasso screening for audio word-based music classification using large-scale dictionary.

Ping-Keng Jao, Chin-Chia Michael Yeh, Yi-Hsuan Yang

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Dual-layer bag-of-frames model for music genre classification.

Chin-Chia Michael Yeh, Li Su, Yi-Hsuan Yang

Proceedings of the IEEE International Conference on Acoustics, 2013

Towards a more efficient sparse coding based audio-word feature extraction system.

Chin-Chia Michael Yeh, Yi-Hsuan Yang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012

Bilingual analysis of song lyrics and audio words.

Jen-Yu Liu, Chin-Chia Michael Yeh, Yi-Hsuan Yang, Yuan-Ching Teng

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Supervised dictionary learning for music genre classification.

Chin-Chia Michael Yeh, Yi-Hsuan Yang

Proceedings of the International Conference on Multimedia Retrieval, 2012