Search
Now showing items 1-5 of 5
Yawn Detection Using Support Vector Machine Classification
A model to detect yawning in a video sequence from a regular camera is proposed. Landmark detectors are able to quickly and accurately estimate the pose of a face with various amounts of light and facial expressions. We ...
A Novel Continuum Manipulator
(2015-09-21)
We address the problem of controlling continuum manipulators and evaluate Reinforcement Learning to produce a control policy for a robotic platform. Our approach discretizes the state and action spaces to reduce the training ...
Analyzing TnSeq Data to Predict Insertion Counts in M. tuberculosis
TnSeq is a genetic method used to evaluate the essentiality of genes in bacteria, such as Mycobacterium tuberculosis. It uses random insertions by the Himar1 transposon and high throughput sequencing to determine the most ...
Few Shot Learning to Improve Deep Medical Model Transfer
The advent of machine learning has changed the way healthcare providers care for their patients. Utilizing data driven models, healthcare workers are now able to predict and account for symptoms in patients before they ...
Exploring Optimizations in Multi-Task Recommendation via Manipulating Auxiliary Gradients
Auxiliary Task Learning has proven to be an effective way to transfer knowledge between tasks. This is the case in many personalized recommendation scenarios, where many auxiliary tasks can boost the performance of the ...