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Analysis and visualization of equilibrium in masonry structures
(Massachusetts Institute of Technology, 2014)
This thesis presents novel analysis and visualization methods to explore the equilibrium of masonry structures. Following a previous approach, we model the stability problem as a quadratic program. When a structure is ...
Computational 3D and reflectivity imaging with high photon efficiency
(Massachusetts Institute of Technology, 2014)
Imaging the 3D structure and reflectivity of a scene can be done using photon-counting detectors. Traditional imagers of this type typically require hundreds of detected photons per pixel for accurate 3D and reflectivity ...
Neural network architectures for Prepositional Phrase attachment disambiguation
(Massachusetts Institute of Technology, 2014)
This thesis addresses the problem of Prepositional Phrase (PP) attachment disambiguation, a key challenge in syntactic parsing. In natural language sentences, a PP may often be attached to several possible candidates. While ...
Beyond locality-sensitive hashing
(Massachusetts Institute of Technology, 2014)
We present a new data structure for the c-approximate near neighbor problem (ANN) in the Euclidean space ... This is the first improvement over the result by Andoni and Indyk (FOCS 2006) and the first data structure that ...
Incremental parametric syntax for multi-language transformation
(Massachusetts Institute of Technology, 2017)
We present a new system for building source-to-source transformations that can run on multiple programming languages, based on a new way of representing programs called incremental parametric syntax. We construct incremental ...
Reducibility and computational lower bounds for problems with planted sparse structure
(Massachusetts Institute of Technology, 2018)
Recently, research in unsupervised learning has gravitated towards exploring statistical-computational gaps induced by sparsity. A line of work initiated by Berthet and Rigollet has aimed to explain these gaps through ...
Morphological segmentation : an unsupervised method and application to Keyword Spotting
(Massachusetts Institute of Technology, 2014)
The contributions of this thesis are twofold. First, we present a new unsupervised algorithm for morphological segmentation that utilizes pseudo-semantic information, in addition to orthographic cues. We make use of the ...
State space models for isolating neural oscillations
(Massachusetts Institute of Technology, 2018)
Information communication in the brain depends on the spiking patterns of neurons. The interaction of these cells at the population level can be observed as oscillations of varying frequency and power, in local field ...
Adaptive Neural Signal Detection for Massive MIMO
(Massachusetts Institute of Technology, 2019)
Massive Multiple-Input Multiple-Output (MIMO) is a key enabler for fifth generation (5G) cellular communication systems. Massive MIMO gives rise to challenging signal detection problems for which traditional detectors are ...
DGCNN : learning point cloud representations by dynamic graph CNN
(Massachusetts Institute of Technology, 2020)
Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices. While hand-designed features on point ...