ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
Resources about word vectors, aka word embeddings, and distributed representations for words. Word vectors are numeric representations of words where similar words have similar vectors. Word vectors ...
During the Spring Term, my Academic Support Hours are 14:00 - 16:00 on Fridays. I will be in my office, Main Academic Building, Room 5A.531, or you can join via Zoom ...
ABSTRACT: Extreme learning machine (ELM) is a feedforward neural network-based machine learning method that has the benefits of short training times, strong generalization capabilities, and will not ...
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders
Data assimilation is a Bayesian inference process that obtains an enhanced understanding of a physical system of interest by fusing information from an inexact physics-based model, and from noisy ...
In the area of Big Data, one of the major obstacles for the progress of biomedical research is the existence of data “silos” because legal and ethical constraints often do not allow for sharing ...
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