Citation: | YANG Zhen, YAO Fei, FAN Kefeng, et al., “Text Dimensionality Reduction with Mutual Information Preserving Mapping,” Chinese Journal of Electronics, vol. 26, no. 5, pp. 919-925, 2017, doi: 10.1049/cje.2017.08.020 |
J. Aslam, M. Ekstrand-Abueg and V. Pavlu, "TREC 2014 temporal summarization track overview", The Twenty-Second Text REtrieval Conference, NIST Special Publication 500-308, pp.1-16, Washington D.C., 2014.
|
Z. Yang, L. Wang, K. Fan, et al., "Exemplar-based clustering analysis optimized by genetic algorithm", Chinese Journal of Electronics, Vol.22, No.4, pp.735-740, 2013.
|
Z. Yang, K. Gao, K. Fan, et al., "Sensational headline identification by normalized cross entropy-based metric", The Computer Journal, Vol.58, No.4, pp.644-655, 2015.
|
H. Liu and H. Motoda, Computational Methods of Feature Selection. CRC Press, Boca Raton, FL, 2007.
|
S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding", Science, Vol.290, No.5500, pp.2323-2326, 2000.
|
A. Trotman and D. Keeler, "Ad Hoc IR:Not much room for improvement", Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, Beijing, pp.1095-1096, 2011.
|
R. Barzilay, K. McKeown and M. Elhadad, "Information fusion in the context of multi-document summarization", Proceedings of The 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, Maryland, pp.550-557, 1999.
|
C. Lin and E. Hovy, "From single to multi-document summarization:A prototype system and its evaluation", Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, PA, pp.457-464, 2002.
|
L. Wang, H. Raghavan, V. Castelli V, et al., "A sentence compression based framework to query-focused multi-document summarization", Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, Bulgaria, pp.1384-1394, 2013.
|
Z. Zhao and H. Liu, "Semi-supervised feature selection via spectral analysis", Proceedings of the 2007 SIAM International Conference on Data Mining, Minnesota, pp.641-646, 2007.
|
S. Wang, J. Tang, H. Liuang, et al., "Embedded unsupervised feature selection", Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, Texas, pp.470-476, 2015.
|
I. Fodor, "A survey of dimension reduction techniques", Technique Report, UCRL-ID-148494, 2002.
|
L. John and M. Verleysen, Nonlinear Dimensionality Reduction, Springer, Berlin Heidelberg, 2007.
|
E. Keogh, K. Chakrabarti, M. Pazzani, et al., "Dimensionality reduction for fast similarity search in large time series databases", Knowledge and Information Systems, Vol.3, No.3, pp.263-286, 2001.
|
S. Yan, D. Xu, B. Zhang, et al., "Graph embedding and extensions:A general framework for dimensionality reduction", IEEE Transactions Pattern Analysis and Machine Intelligence, Vol.29, No.1, pp.40-51, 2007.
|
P. Besl and R. Jain, "Three-dimensional object recognition", ACM Computing Surveys, Vol.17, No.1, pp.75-145, 1985.
|
H. Seung and D. Lee, "The manifold ways of perception", Science, Vol.290, No.5500, pp.2268-2269, 2000.
|
J. Tenenbaum, V. Silva and J. Langford, "A global geometric framework for nonlinear dimensionality reduction", Science, Vol.290, No.5500, pp.2319-2323, 2000.
|
B. Raducanu and D. Dornaika, "A supervised non-linear dimensionality reduction approach for manifold learning", Pattern Recognition, Vol.45, No.6, pp.2432-2444, 2012.
|
S. Ingram and T. Munzner, "Dimensionality reduction for documents with nearest neighbor queries", Neurocomputing, Vol.150, No.SI, pp.557-569, 2015.
|
T. Strohman, D. Metzler, H. Turtle, et al., "Indri:A language model-based search engine for complex queries", Proceedings of the 2005 International Conference on Intelligence Analysis, May 2-6, McLean, VA, USA, pp.2-6, 2005.
|
I. Jolliffe, Principal Component Analysis, John Wiley & Sons, Ltd, Hoboken, NJ, 2002.
|
M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation", Neural Computation, Vol.15, No.6, pp.1373-1396, 2003.
|
K.Q. Weinberger and L.K. Saul, "An introduction to nonlinear dimensionality reduction by maximum variance unfolding", Proceedings of the Twenty-First AAAI Conference on Artificial Intelligence, Massachusetts, pp.1683-1686, 2006.
|