Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception
暂无分享,去创建一个
[1] Ronald Fagin,et al. Efficient similarity search and classification via rank aggregation , 2003, SIGMOD '03.
[2] Tomaso Poggio,et al. Learning a dictionary of shape-components in visual cortex: comparison with neurons, humans and machines , 2006 .
[3] Jeremy Buhler,et al. Efficient large-scale sequence comparison by locality-sensitive hashing , 2001, Bioinform..
[4] Hans-Jörg Schek,et al. A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces , 1998, VLDB.
[5] Marco Patella,et al. PAC nearest neighbor queries: Approximate and controlled search in high-dimensional and metric spaces , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).
[6] Ramesh C. Jain,et al. Similarity indexing with the SS-tree , 1996, Proceedings of the Twelfth International Conference on Data Engineering.
[7] Thomas S. Huang,et al. Optimizing learning in image retrieval , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[8] Robert L. Goldstone. Similarity, interactive activation, and mapping , 1994 .
[9] Edward Y. Chang,et al. Enhanced perceptual distance functions and indexing for image replica recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Shin'ichi Satoh,et al. The SR-tree: an index structure for high-dimensional nearest neighbor queries , 1997, SIGMOD '97.
[11] Jon M. Kleinberg,et al. Two algorithms for nearest-neighbor search in high dimensions , 1997, STOC '97.
[12] Edward Y. Chang,et al. Pfp: parallel fp-growth for query recommendation , 2008, RecSys '08.
[13] Shi-Min Hu,et al. Adaptive tree similarity learning for image retrieval , 2003, Multimedia Systems.
[14] Rafail Ostrovsky,et al. Efficient search for approximate nearest neighbor in high dimensional spaces , 1998, STOC '98.
[15] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[16] Kenneth L. Clarkson,et al. An algorithm for approximate closest-point queries , 1994, SCG '94.
[17] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[18] Edward Y. Chang,et al. Combinational collaborative filtering for personalized community recommendation , 2008, KDD.
[19] P. Cheng,et al. Assessing interactive causal influence. , 2004, Psychological review.
[20] Edward Y. Chang,et al. Parallel Spectral Clustering , 2008, ECML/PKDD.
[21] Thomas S. Huang,et al. Comparing discriminating transformations and SVM for learning during multimedia retrieval , 2001, MULTIMEDIA '01.
[22] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[23] Edward Y. Chang,et al. Parallelizing Support Vector Machines on Distributed Computers , 2007, NIPS.
[24] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[25] David Heckerman,et al. A Bayesian Approach to Learning Causal Networks , 1995, UAI.
[26] D. Medin,et al. The role of theories in conceptual coherence. , 1985, Psychological review.
[27] Sunil Arya,et al. An optimal algorithm for approximate nearest neighbor searching fixed dimensions , 1998, JACM.
[28] Edward Y. Chang,et al. EXTENT: fusing context, content, and semantic ontology for photo annotation , 2005, CVDB '05.
[29] Zhiyuan Liu,et al. PLDA+: Parallel latent dirichlet allocation with data placement and pipeline processing , 2011, TIST.
[30] Edward Y. Chang,et al. Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.
[31] Judea Pearl,et al. Causal Inference in the Health Sciences: A Conceptual Introduction , 2001, Health Services and Outcomes Research Methodology.
[32] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[33] Charu C. Aggarwal,et al. Towards systematic design of distance functions for data mining applications , 2003, KDD '03.