First, we investigate the efficacy of learning discriminative dictionaries for re-id. To this end, we propose a method to learn a dictionary capable of discriminatively encoding features representing different people. We ...

Similar structures were detected in neutrophilic iron-oxidizing cultures that were treated with 200 mM ammonium oxalate solution to gently dissolve biogenic minerals that would otherwise obscure visualization of the ...

SEMMDD is a collection of researchers working to improve treatment for Major Depressive Disorder. Specifically, focus is put on accurately modeling patient response to various depression therapies. This paper contributes ...

Over the last few decades, many efforts have been devoted to researching and developing effective semantic similarity computation algorithms for different scenarios, such as similarity between free text, and similarity ...

We then describe our user case: we combine this portal with our second order differential equation and neural network model for depressive data analysis. Both the design methods and learning algorithm are discussed in this ...

The focus of this thesis will be on the implementation of these two use cases, as well as an extension of the first use case, where a data user with certain semantics for a given data collection (such as a domain model) ...