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Geoffrey E. Hinton
Researcher at Google
Publications - 426
Citations - 501778
Geoffrey E. Hinton is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Generative model. The author has an hindex of 157, co-authored 414 publications receiving 409047 citations. Previous affiliations of Geoffrey E. Hinton include Canadian Institute for Advanced Research & Max Planck Society.
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Proceedings Article
Modeling High-Dimensional Data by Combining Simple Experts
TL;DR: It is difficult to fit a product of experts to data using maximum likelihood because the gradient of the log likelihood is intractable, but there is an efficient way of optimizing a different objective function and this produces good models of high-dimensional data.
Proceedings Article
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space
TL;DR: Linear Relational Embedding is a method of learning a distributed representation of concepts from data consisting of binary relations between concepts that is fast and leads to good generalization on a task involving family relationships.
Learning semantic features
TL;DR: An algorithm is developed to discover a compact yet discriminative semantic vocabulary obtained by grouping the visual-words based on their distribution in videos (images) into visual-word clusters by finding the good tradeoff between compactness and discrim inative power.