Economical globalization and outsourcing have inspired the surge of research in distributed computer-aided design. This paper presents a framework for Internet-based symbolic dist...
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
Particle filters are used extensively for tracking the state of non-linear dynamic systems. This paper presents a new particle filter that maintains samples in the state space a...