[PDF][PDF] Unsupervised clustering for deep learning: A tutorial survey

AI Károly, R Fullér, P Galambos - Acta Polytechnica Hungarica, 2018 - academia.edu
Unsupervised learning methods play an essential role in many deep learning approaches
because the training of complex models with several parameters is an extremely datahungry …

Tracking with deep neural networks

J **, A Dundar, J Bates, C Farabet… - 2013 47th annual …, 2013 - ieeexplore.ieee.org
We present deep neural network models applied to tracking objects of interest. Deep neural
networks trained for general-purpose use are introduced to conduct long-term tracking …

[PDF][PDF] Melanoma Detection Using Image Processing and Computer Vision Algorithms

P Sabouri - 2016 - openrepository.aut.ac.nz
Melanoma is the most serious form of skin cancer and is estimated to be the 19th most
frequently occurring type of cancer worldwide, with approximately 232,000 new cases …

Fast and robust convolutional neural networks optimized for embedded platforms

J ** - 2016 - search.proquest.com
Visual intelligence is the ability to recognize objects with their internal representations.
These representations are used to produce semantics or understand relations among the …