Sparse sampling for sensing temporal data — building an optimized envelope
暂无分享,去创建一个
[1] Anastasios Kyrillidis,et al. Compressive mining: fast and optimal data mining in the compressed domain , 2014, The VLDB Journal.
[2] Takehisa Yairi,et al. Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction , 2014, MLSDA'14.
[3] Thomas G. Dietterich. Machine Learning for Sequential Data: A Review , 2002, SSPR/SPR.
[4] Suman Nath,et al. Cypress : Managing Massive Time Series Streams with Multi-Scale Compressed Trickles , 2009 .
[5] Vikas Sindhwani,et al. Emerging topic detection using dictionary learning , 2011, CIKM '11.
[6] Akram Aldroubi,et al. Optimal Non-Linear Models for Sparsity and Sampling , 2007, 0707.2008.
[7] Michael Elad,et al. Dictionaries for Sparse Representation Modeling , 2010, Proceedings of the IEEE.
[8] Anoop Cherian,et al. Denoising sparse noise via online dictionary learning , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[9] Carla E. Brodley,et al. Temporal sequence learning and data reduction for anomaly detection , 1998, CCS '98.
[10] Guillermo Sapiro,et al. Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization , 2009, IEEE Transactions on Image Processing.
[11] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[12] Martin Hirzel,et al. Dynamic hot data stream prefetching for general-purpose programs , 2002, PLDI '02.