Link to: Machine Learning
MACHINE LEARNING
Link to: ML Projects
PROJECTS
Link to: ML People
PEOPLE
Link to: ML Publications
PUBLICATIONS
Link to: ML Patents
PATENTS
Link to: Torch 7: Open Source System
Torch 7: Open Source System
This system provides a powerful environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to the fast scripting language (Lua) and underlying C implementations.
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Link to: eigen Video Understanding
eigen Video Understanding
Aiming to achieve near-human video understanding, in this project we analyze several gigabytes of spatiotemporal data to perform action recognition, multi-person tracking, object permanence and video reasoning. eigen has built a scalable video-understanding platform for long-form video reasoning that scales to new environments and camera angles without any re-training.
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Link to: Machine Learning Development Environment
Machine Learning Development Environment
Data analytics requires a wide range of tools for a wide range of tasks: data collection, cleaning and labeling; model training and testing; presenting results, etc. Our system is designed for both performance and ease of use.
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Link to: Deep Learning
Deep Learning
We have been developing neural network learning algorithms for more than a decade, and several of the most successful algorithms in use today have been created at NEC Labs. These include original algorithms for image/video interpretation and text analysis.
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Link to: Semantic Analysis & Reasoning
Semantic Analysis & Reasoning
We develop several types of algorithms for high-level semantic analysis, which are used for tasks such as scene interpretation, document retrieval and question answering. For text interpretation, a syntactic analysis extracts relevant elements followed by concept interpretation. To combine different data types, a data-specific module first generates metadata representations that are integrated into a deep learning network.
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