We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
—This paper presents an Improved Snake Model (ISM) effective for performing fast image segmentation. The work takes advantage of two well-known snake models of Balloon [1] and GG...
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...