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Connection Science Volume 8, 1996 - Issue 2
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Original Articles

Making a Low-dimensional Representation Suitable for Diverse Tasks

NATHAN INTRATOR
Pages 205-224 | Published online: 01 Jul 2010

Citations (14)

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Nathan Intrator & Shimon Edelman. (1997) Learning low-dimensional representations via the usage of multiple-class labels. Network: Computation in Neural Systems 8:3, pages 259-281.
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Articles from other publishers (13)

Piotr Koniusz, Yusuf Tas & Fatih Porikli. (2017) Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors. Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors.
X.-X. Yin, Y. Zhang, J. Cao, J.-L. Wu & S. Hadjiloucas. (2016) Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework. Computer Methods and Programs in Biomedicine 137, pages 87-114.
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Tatiana Tommasi, Francesco Orabona & Barbara Caputo. (2014) Learning Categories From Few Examples With Multi Model Knowledge Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence 36:5, pages 928-941.
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Yong-Li Xu, Di-Rong Chen & Han-Xiong Li. (2013) Least Square Regularized Regression for Multitask Learning. Abstract and Applied Analysis 2013, pages 1-7.
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Shai Ben-David & Reba Schuller Borbely. (2008) A notion of task relatedness yielding provable multiple-task learning guarantees. Machine Learning 73:3, pages 273-287.
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D. Masip & J. Vitria. (2008) Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Transactions on Neural Networks 19:4, pages 586-595.
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Brandon Rohrer. (2007) S-Learning: A Biomimetic Algorithm for Learning, Memory, and Control in Robots. S-Learning: A Biomimetic Algorithm for Learning, Memory, and Control in Robots.
Àgata Lapedriza, David Masip & Jordi Vitrià. 2007. Pattern Recognition and Image Analysis. Pattern Recognition and Image Analysis 258 265 .
A. Lazarevic, R. Kanapady, C. Kamath, Vipin Kumar & K. Tamma. (2003) Localized prediction of continuous target variables using hierarchical clustering. Localized prediction of continuous target variables using hierarchical clustering.
Shai Ben-David & Reba Schuller. 2003. Learning Theory and Kernel Machines. Learning Theory and Kernel Machines 567 580 .
Amanda J. C. Sharkey. 1999. Combining Artificial Neural Nets. Combining Artificial Neural Nets 205 233 .
Nathan Intrator§Shimon Edelman. (1997) Learning low-dimensional representations via the usage of multiple-class labels. Network: Computation in Neural Systems 8:3, pages 259-281.
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Lorien Pratt & Barbara Jennings. 1998. Learning to Learn. Learning to Learn 19 43 .

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