2 citations · 3 across the 4 of their papers we have counts for
4 papers
ISyNet: Convolutional Neural Networks design for AI accelerator
Alexey Letunovskiy, Vladimir Korviakov, Vladimir Polovnikov +3
In recent years Deep Learning reached significant results in many practical problems, such as computer vision, natural language processing, speech recognition and many others. For…
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
Anuar Taskynov, Vladimir Korviakov, Ivan Mazurenko +1
Nowadays Deep Learning became widely used in many economic, technical and scientific areas of human interest. It is clear that efficiency of solutions based on Deep Neural Networks…
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov +7
Manifold hypothesis states that data points in high-dimensional space actually lie in close vicinity of a manifold of much lower dimension. In many cases this hypothesis was empiri…
Tensor-based approach to accelerate deformable part models
D. V. Parkhomenko, I. L. Mazurenko
This article provides next step towards solving speed bottleneck of any system that intensively uses convolutions operations (e.g. CNN). Method described in the article is applied…