… machine learning techniques into computer vision applications. An innovative combination
of computer vision and machine learning … of advancing the field of computer vision, which will …

… We conclude as machine learning spread all the corners of computer vision and well
perform in all those areas, but unfortunately, there are still some open research areas, where …

… machine learning and computer vision explores and analytically evaluates the machine
learning applications in computer vision … the machine learning strategies in computer vision are …

… In this review we extol computer vision (CV; for a definition of terms in italics see see Box
1), the … Glossary of terms relevant for computer vision and machine learning in ecology and …

Computer vision is the science and technology of making machines that see. It is concerned
with the theory, design and implementation of algorithms that can automatically process …

… However, recent advances in computer vision (CV) and machine learning (ML) offer new
approaches for extracting information from microstructural images. This overview surveys CV …

… -of-the-art computer vision systems with only blackbox access… state-of-the-art computer vision
systems including ten Deep … third-party vision APIs including Google vision and Clarifai for …

… of computer vision, image processing, and machine learning techniques in viticulture. We
summarise the latest developments in vision … on how computer vision and machine learning …

… machine learning, artificial intelligence, and computer vision … even broader applicability of
deep learning. The new generation … their roots and learning algorithms tied to deep learning. In …

… Nearly any modern algorithm for machine learning involves optimization of some objective,
so we will find no shortage of examples from recent research and engineering. After …