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Full-Text Articles in Physical Sciences and Mathematics
Towards Multi-Modal Data Classification, Henry Ng
Towards Multi-Modal Data Classification, Henry Ng
UNLV Theses, Dissertations, Professional Papers, and Capstones
A feature fusion multi-modal neural network (MMN) is a network that combines different modalities at the feature level to perform a specific task. In this paper, we study the problem of training the fusion procedure for MMN. A recent study has found that training a multi-modal network that incorporates late fusion produces a network that has not learned the proper parameters for feature extraction. These late fusion models perform very well during training but fall short to its single modality counterpart when testing. We hypothesize that jointly trained MMN have weight space that is too large for effective training. To …
Classification Of Vegetation In Aerial Imagery Via Neural Network, Gevand Balayan
Classification Of Vegetation In Aerial Imagery Via Neural Network, Gevand Balayan
UNLV Theses, Dissertations, Professional Papers, and Capstones
This thesis focuses on the task of trying to find a Neural Network that is best suited for identifying vegetation from aerial imagery. The goal is to find a way to quickly classify items in an image as highly likely to be vegetation(trees, grass, bushes and shrubs) and then interpolate that data and use it to mark sections of an image as vegetation. This has practical applications as well. The main motivation of this work came from the effort that our town takes in conserving water. By creating an AI that can easily recognize plants, we can better monitor the …
Understanding Progenitors Of Gamma Ray Bursts With Multi-Wavelength Properties, Ye Li
Understanding Progenitors Of Gamma Ray Bursts With Multi-Wavelength Properties, Ye Li
UNLV Theses, Dissertations, Professional Papers, and Capstones
Gamma-ray bursts (GRBs) are among the most brilliant explosions in the universe, named for their intense, seconds-duration $\gamma$-ray emission. They are generally classified into two categories according to the durations of their $\gamma$-ray emission: the long-duration GRBs (LGRBs) with durations more than 2 seconds, and the short-duration GRBs (SGRBs) with durations less than 2 seconds. Most SGRBs are believed to originate from mergers of compact stars (e.g., neutron star-neutron star and neutron star-black hole; also known as Type I GRBs by their physical mechanism), while the LGRBs are thought to originate from core-collapse of massive stars (Type II). In addition …