Establishing common ground is one of the key problems for any form of communication. The problem is particularly pronounced in remote meetings, in which participants can easily lo...
In this paper a discriminant analysis (DA) technique called accelerated generalised subclass discriminant analysis (AGSDA) and its GPU implementation are presented. This method id...
We explore what names people use to describe visual concepts and why these names are chosen. Choosing object names has been a topic of interest in cognitive psychology, but a syst...
Learning image representation by deep model has recently made remarkable achievements for semantic-oriented applications, such as image classification. However, for usercentric t...
Crowdsourcing is a popular tool for conducting subjective evaluations in uncontrolled environments and at low cost. In this paper, a crowdsourcing study is conducted to investigat...
Music consists of several structures and patterns evolving through time which greatly influences the human decoding of higher-level cognitive aspects of music like the emotions e...
We propose a data-driven geolocation method on microblog text. Key idea underlying our approach is sparse coding, an unsupervised learning algorithm. Unlike conventional positioni...
Every culture and language is unique. Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semant...
Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Red...
Smart lenses are detachable lenses connected to mobile devices via wireless networks, which are not constrained by the small form factor of mobile devices, and have potential to d...
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs) with a deep integration in the MATLAB environment. The toolbox is designed with an emphasis on ...