— Is the study of the dimensional space that is meant to represent human emotions helpful in understanding the mechanisms underlying emotional processes? Emotional experience is ...
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Compressing real-time input through bandwidth constrained connections has been studied within robotics, wireless sensor networks, and image processing. When there are bandwidth con...
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...