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Extracting fluid properties through high-speed video analysis
(Massachusetts Institute of Technology, 2016)
We explore a non-contact method to measure changes in fluid properties by analyzing refractive motion in high speed video. We present a method of extracting fluid properties by performing video motion analysis using an ...
A multimodal Ouija board for aircraft carrier deck operations
(Massachusetts Institute of Technology, 2016)
In this thesis, we present improvements to DeckAssistant, a system that provides a traditional Ouija board interface by displaying a digital rendering of an aircraft carrier deck that assists deck handlers in planning deck ...
Adaptive scheduling in Spark
(Massachusetts Institute of Technology, 2016)
Because most data processing systems are distributed in nature, data must be transferred between machines. Currently, Spark, a prominent such system, predetermines the strategies for shuffling this data, but in certain ...
Exploring cis-regulatory models of the genome to predict epigenetic state and variation
(Massachusetts Institute of Technology, 2015)
We introduce a new model called CCM+ that rectifies the inability of previous sequence-based methods to generalize across cell-types. We permit generalization by introducing arbitrary base-pair resolution covariates. We ...
Finding similar questions in large-scale community QA forums
(Massachusetts Institute of Technology, 2016)
Question answering forums are rapidly growing in size with no automated ability to refer to and reuse existing answers. In this paper, we develop a methodology for finding semantically related questions. The task is difficult ...
Trace reconstruction problem
(Massachusetts Institute of Technology, 2014)
In the setting of the trace reconstruction problem, a uniform random binary sequence w [epsilon] {0, 1}n yields a collection of traces, such that each subsequence is obtained by independently deleting each bit with a public ...
Learning to teach in multiagent reinforcement learning with teams of N > 2 Agents
(Massachusetts Institute of Technology, 2020)
Sharing unique insights while learning how to collectively perform a task is a central function of human intelligence in groups. While navigating a complex task independently can be feasible, communicating with and studying ...
Gaze Prediction in First-Person View Videos
(Massachusetts Institute of Technology, 2020)
Gaze is an important topic in computer vision as it reveals points of interest that tend to capture a subject's attention in a scene and potential intentions of the subject of gaze. Gaze data is becoming more readily ...
Adaptive gain spatial receiver for wide dynamic range communication links
(Massachusetts Institute of Technology, 2020)
Wireless optical communication facilitates high-speed transmission across long distances. However, time-varying and spatially-dependent attenuation through freespace channels due to scattering impedes operation for many ...
Predicting post-surgical opioid consumption using perioperative surgical data
(Massachusetts Institute of Technology, 2020)
Improper consumption of prescription opioids is a massive public health issue in the United States currently. Here, we propose one approach of tackling this issue through using machine learning techniques to predict opioid ...