This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons fo...
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
A new method for object search is proposed. The proposed scheme is based on matching gradient information around each pixel, computed in the form of orientation codes, rather than...
I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...
Diagnostic tasks involve identifying faulty components from observations of symptomatic device behavior. This paper presents a general diagnostic theory that uses the perspective ...