Abstract: An artificial neural network for data imbalanced regression and a method for training that network. A regression dataset is obtained that includes multiple pairs that respectively are made up of inputs and corresponding targets. The inputs are represented in a feature space and the targets are represented in a label space of continuous values. Label space similarities between the targets as represented in the label space are determined, and analogously feature space similarities between the inputs as represented in the feature space are determined. A loss may then be determined based on differences between rankings of the label space similarities and corresponding feature space similarities. That loss may be used to train an artificial neural network.

Abstract: Hashing methods and apparatus for large-scale search learn a similarity-preserving transformation from feature space to a lower-dimensional binary space. The resulting binary codes are more compact to store than feature vectors and can be rapidly searched. The hashing methods may be performed without introducing continuous relaxations. Apparatus as described herein comprises a deep neural network that may be trained in a discrete optimization framework without continuous relaxations. The methods and apparatus can be applied to efficiently search image collections without class labels.

Abstract: A social media identity/construct is created for a person by locating social media profiles of the person at least by one or both of i) recognizing image(s) in one or more social media postings related to the person and ii) correlating geolocation data embedded in one or more social media postings related to the person or the person's social media connections, analyzing, monitor social media outlets and channels to create a social media profile for the person.

Abstract: A social media identity/construct is created for a person by locating social media profiles of the person at least by one or both of i) recognizing image(s) in one or more social media postings related to the person and ii) correlating geolocation data embedded in one or more social media postings related to the person or the person's social media connections, analyzing, monitor social media outlets and channels to create a social media profile for the person.