Mingmin CHI
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Bio Scientific Reviewer for
Research Research Interests The development of machine learning and pattern recognition algorithms with applications to financial data analysis, remote sensing data analysis, multimedia data analysis, and robotic control. Courses
Projects Project Publications Book Chapters [1] Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini, “Semisupervised Support Vector Machines for Hyperspectral Image Classification,” In Chein-I Chang, editor, Hyperspectral Data Exploitation: Theory and Applications, pp.275-311, John Wiley & Sons, Inc., May 4, 2007. [2] Waske, B., Mingmin Chi, Benediktsson, J., A., van der Linden, S., Koetz, B., “Algorithms and applications for land cover classification – a review, ”In: Li, D., Shan, J., Gong, J. (Eds.), Geospatial Technology for Earth Observation, pp. 203-233, Springer, 2009. Journal Articles [1] Mingmin Chi, Qian Kun, Jon A. Benediktsson and Rui Feng, “Ensemble Classification Algorithm for Hyperspectral Remote Sensing Data,” IEEE Geoscience and Remote Sensing Letters, No. 3, pp. 762-766, Oct. 2009. [2] Mingmin Chi, Rui Feng, and Lorenzo Bruzzone, “Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem, ” Advances in Space Research, vol. 41, no. 11, pp. 1793-1799, 2008. [3] Mingmin Chi and Lorenzo Bruzzone, “Semi-Supervised Classification of Hyperspectral Images by SVMs Optimized in the Primal,” IEEE Transaction on Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1870-1880, Jun. 2007. [4] Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini, “”A novel transductive SVM for semisupervised classification of remote sensing images,” IEEE Transaction on Geoscience and Remote Sensing. vol. 44, no. 11, pp. 3363-3373, Nov. 2006. [5] Mingmin Chi and Lorenzo Bruzzone, “An ensemble-driven k-NN approach to ill-posed classification problems,” Pattern Recognition Letters, vol. 27, no. 4, pp. 301-307, 2005. [6] Mingmin Chi and Lorenzo Bruzzone, “A semilabeled-sample-driven bagging technique for ill-posed classification problems,” IEEE Geoscience and Remote Sensing Letters, vol. 2, no. 1, pp. 69-73, January 2005. Conference Papers [1] Mingmin Chi, Huijun He and Wenqiang Zhang, “Nonlinear Online Classification Algorithm with Probability Margin,” Journal of Machine Learning Research-Proceedings Track 20: 33-46 (2011). [2] Mingmin Chi, Jun Liu, Jiangfeng Bao, Jon Atli Benediktsson, “Scalable semi-supervised classification of hyperspectral remote sensing data with spectral and spatial information,” IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS’11), Jul. 24-29, Vancouver, Canada. [3] Mingmin Chi, Xisheng He and Shipeng Yu, “Mixture Model Label Propagation,” Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM2010), pp. 1889–1892, Toronto, Canada, Oct. 2010. [4] Mingmin Chi, Youdong Miao, Youze Tang, Jon Atli Benediktsson, Xuanjing Huang, “Hierarchical Ensemble Support Cluster Machine,” MCS 2009: 252-261. [5] Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, Xiangyang Xue, “Web Image Retrieval Reranking with Multi-view Clustering,” WWW 2009: 1189-1190. [6] Mingmin Chi, Kun Qian, Jón Atli Benediktsson, “Cluster-based Ensemble Classification for Hyperspectral Remote Sensing Images,” IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS’08), Boston, U.S.A., July, 2008. [7] Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo, “MTForest: Ensemble Decision Trees based on Multi-Task Learning,” European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece, July, 2008. [8] Wei Zhang, Xiangyang Xue, Zichen Sun, Yuefei Guo, Mingmin Chi, and Hong Lu, “Efficient Feature Extraction for Image Classification,” 11th IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, Oct. 2007. [9] Ilya Zaihrayeu, Lei Sun, Fausto Giunchiglia, Wei Pan, Qi Ju, Mingmin Chi, and Xuanjing Huang, “From Web Directories to Ontologies: Natural Language Processing Challenges,” International Semantic Web Conference+Asian Semantic Web Conference (ISWC+ASWC 2007), Busan, Korea, Nov. 2007. [10] Mingmin Chi and Lorenzo Bruzzone, “Classification of Hyperspectral Remote Sensing Data with Primal Semi-Supervised SVMs,” IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS’07), Barcelona, Spain, July 2007. [11] Bin Li, Mingmin Chi, Jianpin Fan and Xiangyang Xue, “Support Cluster Machine,” 24th International Conference on Machine Learning (ICML’07), Corvallis, USA, June 2007. [12] Olivier Chapelle, Mingmin Chi and Alexander Zien, “A Continuation Method for Semi-Supervised SVMs,” 23rd International Conference on Machine Learning (ICML’06), Pittsburgh, USA, June 2006. | |||||||
