Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Detecting human arm motion in a typical classroom environment is a challenging task due to the noisy and highly dynamic background, varying light conditions, as well as the small ...
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
In this paper, we present an algorithm for the tracking of target speakers in telephone conversations. Speaker tracking consists in retrieving, in an audio recording, segments whi...