All the homework are about using the Spark to do data analysis. At the end of the quarter, there is a final project, which requires all students to analyze some real data and present the report in iPython.
Category: Spring (2016)
Computer Vision III Quarter Project
In this quarter project, we are interested in a paper that has not been accepted by conference but available on ArXiv: Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem. Its goal is to achieve better visual-inertial odometry given sequential visions from two camera. In terms of implementation, we need to embed some TensorFlow codes in
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