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Geothermal Energy In Canada
Prof. Maurice B. Dusseault, Earth & Environmental Sciences, Faculty of Science
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Action Recognition in Video
Humans easily recognize and identify actions in video but automating this procedure is challenging. To this end, in the action recognition project, we introduce an effective temporal filtering of the video signal, a multi-resolution action representation scheme, and an efficient classification approach to improve action recognition performance in a discriminative bottom-up framework.
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3D Reconstruction of Underwater Scenes
There is a large and growing demand across many industries for underwater inspection technologies. Whether the assets in question are offshore oil rigs owned by energy companies, undersea power or data cables owned by utilities, or large pipe networks owned by municipalities, the problem is the same: critical assets are in need of assessment and…
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Sports Analytics
Sports Analytics is a growing field in computer vision that analyzes visual cues from images to provide statistical data on players, teams, and games. Want to know how a player’s technique improves the quality of the team? Can a team, based on their defensive position, increase their chances to the finals? These are a few…
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Discovery Radiomics
Radiomics, which involves the high-throughput extraction and analysis of a large amount of quantitative features from medical imaging data to characterize tumor phenotype in a quantitative manner, is ushering in a new era of imaging-driven quantitative personalized cancer decision support and management.
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Evolutionary Deep Intelligence
Deep learning has shown considerable promise in recent years, producing tremendous results and significantly improving the accuracy of a variety of challenging problems when compared to other machine learning methods.
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Video Analysis
Video analysis is a field within computer vision that involves the automatic interpretation of digital video using computer algorithms. Although humans are readily able to interpret digital video, developing algorithms for the computer to perform the same task has been highly evasive and is now an active research field.
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Stochastic Models
In many image processing, computer vision, and pattern recognition applications, there is often a large degree of uncertainty associated with factors such as the appearance of the underlying scene within the acquired data, the location and trajectory of the object of interest, the physical appearance (e.g., size, shape, color, etc.) of the objects being detected,…
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Scientific Imaging
Scientific Imaging refers to working on two- or three-dimensional imagery taken for a scientific purpose, in most cases acquired either through a microscope or remotely-sensed images taken at a distance.
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Remote Sensing
Remote sensing, or the science of capturing data of the earth from airplanes or satellites, enables regular monitoring of land, ocean, and atmosphere expanses, representing data that cannot be captured using any other means. A vast amount of information is generated by remote sensing platforms and there is an obvious need to analyze the data…
