Machine Learning & Dimensionality Reduction

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1. A Variational Framework for Exemplar-Based Image Inpainting

   Pablo Arias, Gabriele Facciolo, Vicent Caselles, Guillermo Sapiro in International Journal of Computer Vision (2011)

   Added 3 weeks ago 15 readers
2. A Variational Framework for Exemplar-Based Image Inpainting

   Pablo Arias, Gabriele Facciolo, Vicent Caselles, Guillermo Sapiro in International Journal of Computer Vision (2011)

   Added 3 weeks ago 15 readers
3. Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective

   Richard G Baraniuk, Volkan Cevher, Michael B Wakin in Proceedings of the IEEE (2010)

   Added 3 weeks ago 47 readers
4. Maximum Margin Bayesian Network Classifiers

   Michael Wohlmayr Franz Pernkopf (2011)

   We present a maximum margin parameter learning algorithm for Bayesian network classifiers using a conjugate gradient (CG) method for optimization. In contrast to previous approaches, we maintain the normalization constraints on the parameters of the…

   Added 2012-03-19 11 readers
5. policy wording

   Added 2012-03-06 6 readers
6. Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons

   Jingu Kim, Haesun Park in SIAM Journal on Scientific Computing (2011)

   Added 2012-02-06 104 readers
7. Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization

   Massimo Fornasier, Holger Rauhut, Rachel Ward in SIAM Journal on Optimization (2011)

   Added 2012-02-06 104 readers
8. A convex model for non-negative matrix factorization and dimensionality reduction on physical space

   Ernie Esser, Michael Möller, Stanley Osher, Guillermo Sapiro, Jack Xin in Arxiv preprint arXiv:1102.0844 (2011)

   Added 2011-08-02 11 readers
9. Convex and semi-nonnegative matrix factorizations.

   Chris Ding, Tao Li, Michael I Jordan in IEEE transactions on pattern analysis and machine intelligence (2010)

   We present several new variations on the theme of nonnegative matrix factorization (NMF). Considering factorizations of the form X=FG(T), we focus on algorithms in which G is restricted to containing nonnegative entries, but allowing the data matrix…

   Added 2011-08-02 73 readers
10. C4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling.

    Jacob Porway, Song-Chun Zhu in IEEE transactions on pattern analysis and machine intelligence (2011)

    This paper presents a novel Markov Chain Monte Carlo (MCMC) inference algorithm called C⁴ - Clustering with Cooperative and Competitive Constraints - for computing multiple solutions from posterior probabilities defined on graphical models. C⁴ is a…

    Added 2011-08-01 20 readers
11. An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors

    Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang (2011)

    This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to nd nonnegative matrices X and Y from a subset of entries of a nonnegative matrix M so that XY approximates M. This problem is…

    Added 2011-04-18 14 readers
12. Recovery of constituent spectra using non-negative matrix factorization

    Paul Sajda, Shuyan Du, Lucas Parra in Proceedings of SPIE (2003)

    In this paper a constrained non-negative matrix factorization (cNMF) algorithm for recovering constituent spectra is described together with experiments demonstrating the broad utility of the approach. The algorithm is based on the NMF algorithm of…

    Added 2011-04-13 19 readers
13. Optimal wavelet basis selection for signal representation

    Y. Zhuang, J.S. Baras in Transform (1994)

    We study the problem of choosing the optimal wavelet basis with compact support for signal representation and provide a general algorithm for computing the optimal wavelet basis. We first briefly review the multiresolution property of wavelet…

    Added 2011-04-13 2 readers
14. Nonnegative matrix factorization for spectral data analysis

    V.P. Pauca, J Piper, R.J. Plemmons in Linear Algebra and its Applications (2006)

    Added 2011-04-13 24 readers
15. Non-negative matrix factorization with sparseness constraints

    P.O. Hoyer in The Journal of Machine Learning Research (2004)

    Added 2011-04-13 54 readers
16. Online learning for matrix factorization and sparse coding

    Julien Mairal, Francis Bach, J. Ponce, Guillermo Sapiro in The Journal of Machine Learning Research (2010)

    Added 2011-04-13 155 readers
17. Overcomplete and Non-negative Models

    A. Hyvärinen, J Hurri, P.O. Hoyer in Natural Image Statistics (2009)

    Added 2011-04-13 2 readers
18. Ensemble non-negative matrix factorization methods for clustering protein-protein interactions.

    Derek Greene, Gerard Cagney, Nevan Krogan, Pádraig Cunningham in Bioinformatics (Oxford, England) (2008)

    MOTIVATION: When working with large-scale protein interaction data, an important analysis task is the assignment of pairs of proteins to groups that correspond to higher order assemblies. Previously a common approach to this problem has been to…

    Added 2011-04-13 24 readers
19. Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior

    Morten Arngren, Mikkel N. Schmidt, Jan Larsen in Journal of Signal Processing Systems (2010)

    Added 2011-04-13
20. Locality Between-Locality Embedding Nonnegative Matrix Factorization

    Pei Xiaobing, Chen Changqin, Chen Chuanbo in 2010 International Conference on Intelligent Computation Technology and Automation (2010)

    Added 2011-04-13 2 readers

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