Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervis...
Chazelle’s triangulation [1] forms today the common basis for linear-time Euclidean shortest path (ESP) calculations (where start and end point are given within a simple polygon)...
In this paper, we address the problem of hand-eye calibration of a robot mounted video camera. In a rst time, we derive a new linear formulation of the problem. This allows an alg...
- In this paper we investigate techniques offered by current object-oriented development methods for the specification of the user-system dialogue aspect of a software system. Curr...