Research Publications
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By Year By Research Group | Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for computer vision. There are several variants of the matching problem, concerned ... We show that the expected computational complexity of the Junction-Tree Algorithm for maximum a posteriori inference in graphical models can be improved. Our results apply whenever the potentials over maximal cliques of the triangulated graph are factored... The ability to automatically classify different cognitive load levels can be very useful, especially in the field of human computer interaction, as human task performance is related to the cognitive load experienced. Although Mel-frequency cepstral ... Developing a fusion-based system is one of the key research issues in modern Language Identification (LID) systems. In this paper we investigate existing fusion techniques for LID systems and propose an alternative solution.By directly utilizing ... The use of simultaneous masking in speech enhancement has shown promise for a range of noise types. In this paper, a new speech enhancement algorithm based on a short-term temporal masking threshold to noise ratio (MNR) is presented. A novel functional ... Cognitive load measurement is important when designing adaptive interfaces that optimize the performance of users working on high mental load tasks. Recent research on automatic speech-based measurement system indicates that cognitive load information is ... An adaptive interaction system, which is aware of the users’ current cognitive load, can change its response, presentation and interaction flow to improve users’ experience and their task performance. In this paper, we propose a novel speech content ... Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects. We investigate spatio-temporal movement patterns in large tracking data ... Multimodal interfaces involve user input through two or more combined modes, such as speech, pen, touch, manual gestures, gaze, and head and body movements. They represent a new direction for computer interfaces, and a paradigm shift away from ... Ranking is hard because implicitly it involves manipulating n!-dimensional vectors. We show that if each training example only involves k out of the n objects to be ranked, then by Fourier analysis on the ranking vectors we can reduce the dimensionality ... |