Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure

Keywords

Neighbourhood (mathematics), Nonlinear system, Class (philosophy), Computer science, Embedding

References

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• Training Restricted Boltzmann MachinesAsja Fischer — 2015
• Deep Boltzmann Machines as Hierarchical Generative Models of Perceptual Inference in the CortexDavid Reichert — 2012
• A fast and efficient pre-training method based on layer-by-layer maximum discrimination for deep neural networksSeyyede Zohreh Seyyedsalehi, Seyyed Ali Seyyedsalehi, Seyyed Ali Seyyedsalehi — 2015
• Learning Deep Visual RepresentationsHanlin Goh — 2013
• Learning Contextualized Semantics from Co-occurring Terms via a Siamese ArchitectureUbai Sandouk, Ke Chen — 2015
• Efficient Entity Disambiguation via Similarity HashingDat Ba Nguyen, M. Theobald, G. Weikum — 2012
• Query-oriented unsupervised multi-document summarization via deep learning modelSheng-hua Zhong, Yan Liu, Bin Li — 2015
• Large Scale Nearest Neighbor Search - Theories, Algorithms, and ApplicationsHe, Junfeng — 2014
• Neighborhood analysis methods in acoustic modeling for automatic speech recognitionNatasha Singh-Miller — 2010
• Large-Margin kNN Classification Using a Deep Encoder NetworkMartin Renqiang Min, David A. Stanley, Zineng Yuan — 2009
• Single Sample Face Recognition via Learning Deep Supervised AutoencodersShenghua Gao, Yuting Zhang, Kui Jia — 2015
• Deep Learning using Linear Support Vector MachinesYichuan Tang — 2013
• Etude de techniques d'apprentissage non-supervise pour l'amelioration de l'entrainement supervise de modeles connexionnistesHugo Larochelle — 2009
• Resource-constrained classification using a cascade of neural network layersSam Leroux, Steven Bohez, Tim Verbelen — 2015
• Maximum Entropy Discrimination Denoising AutoencodersSotirios Chatzis — 2014
• Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative ChoiceFangxiang Feng, Ruifan Li, Xiaojie Wang — 2013

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