Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring
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[1] G. W. Hart,et al. Nonintrusive appliance load monitoring , 1992, Proc. IEEE.
[2] Jyoti Maggu,et al. Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning , 2019, IEEE Transactions on Smart Grid.
[3] Yoram Bresler,et al. Learning Sparsifying Transforms , 2013, IEEE Transactions on Signal Processing.
[4] Tommi S. Jaakkola,et al. Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation , 2012, AISTATS.
[5] Benar Fux Svaiter,et al. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods , 2013, Math. Program..
[6] Jeffrey A. Fessler,et al. Convolutional Dictionary Learning: Acceleration and Convergence , 2017, IEEE Transactions on Image Processing.
[7] Émilie Chouzenoux,et al. Convolutional Transform Learning , 2018, ICONIP.
[8] S. Shankar Sastry,et al. Energy Disaggregation via Learning Powerlets and Sparse Coding , 2015, AAAI.
[9] Patrick L. Combettes,et al. Proximal Splitting Methods in Signal Processing , 2009, Fixed-Point Algorithms for Inverse Problems in Science and Engineering.
[10] D. Bertsekas. Projected Newton methods for optimization problems with simple constraints , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
[11] Liyi Dai,et al. Analysis Dictionary Learning: an Efficient and Discriminative Solution , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Larry S. Davis,et al. Learning a discriminative dictionary for sparse coding via label consistent K-SVD , 2011, CVPR 2011.
[13] Brendt Wohlberg,et al. Convolutional Dictionary Learning: A Comparative Review and New Algorithms , 2017, IEEE Transactions on Computational Imaging.
[14] Émilie Chouzenoux,et al. A block coordinate variable metric forward–backward algorithm , 2016, Journal of Global Optimization.
[15] Marc Teboulle,et al. Proximal alternating linearized minimization for nonconvex and nonsmooth problems , 2013, Mathematical Programming.
[16] Jack Kelly,et al. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation , 2015, BuildSys@SenSys.
[17] Andrew Y. Ng,et al. Energy Disaggregation via Discriminative Sparse Coding , 2010, NIPS.
[18] Larry S. Davis,et al. Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Ujjwal Maulik,et al. Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach , 2015, IEEE Transactions on Industrial Informatics.
[20] Angshul Majumdar,et al. Discriminative Autoencoder for Feature Extraction: Application to Character Recognition , 2018, Neural Processing Letters.
[21] Chris Develder,et al. Appliance classification using VI trajectories and convolutional neural networks , 2018 .
[22] J. Zico Kolter,et al. REDD : A Public Data Set for Energy Disaggregation Research , 2011 .
[23] Angshul Majumdar,et al. Deep Sparse Coding for Non–Intrusive Load Monitoring , 2018, IEEE Transactions on Smart Grid.