Model based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and greylevel information more directly than our existi...

Shepard and Chipman’s second order isomorphism describes how the brain may represent the relations in the world. However, a common interpretation of the theory can cause difficulties. The problem originates from the static nature of representations. In an alternative interpretation, I propose that we assign an active role to the internal representations and relations. It turns out that a collec...

From past research it is known that both knowledge-based scene interpretation and knowledge-based configuration can be conceived as logical model construction. In this report we show that also from an applicationoriented point of view, both tasks are very similar and existing configuration technology can be used to implement a generic scene interpretation system with highly useful features, in ...

When anxious or depressed people try to recall emotionally ambiguous events, they produce errors that reflect their habits of interpreting ambiguity in negative ways. These distortions are revealed by experiments that evaluate performance on memory tasks after taking interpretation biases into account—an alternative to the standard memory-bias procedure that examines the accuracy of memory for ...

This article is a survey of methods for measuring agreement among corpus annotators. It exposes the mathematics and underlying assumptions of agreement coefficients, covering Krippendorff’s alpha as well as Scott’s pi and Cohen’s kappa; discusses the use of coefficients in several annotation tasks; and argues that weighted, alpha-like coefficients, traditionally less used than kappalike measure...

Spatial data mining denotes the extraction of patterns from both spatial and aspatial data, possibly stored in a spatial database. An important application of spatial data mining methods is the extraction of knowledge from a Geographic Information System. INGENS (Inductive Geographic Information System) is a prototype GIS which integrates data mining tools to assist users in their task of topog...

Matrix factorization algorithms are commonly used to analyze muscle activity and provide insight into neuromuscular control. These algorithms identify low-dimensional subspaces, commonly referred to as synergies, which can describe variation in muscle activity during a task. Synergies are often interpreted as reflecting underlying neural control; however, it is unclear how these analyses are in...

Authors and affiliations: 5 1,2,* Katherine M. Steele, 2,3,4 Matthew C. Tresch, and 2,3,4 Eric J. Perreault 6 7 1 Mechanical Engineering, University of Washington, Seattle, WA, USA 8 2 Sensorimotor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA 9 3 Biomedical Engineering, Northwestern University, Evanston, IL, USA 10 4 Physical Medicine & Rehabilitation, Northwestern...

This is the main text of a proposal submitted to the Defense Advanced Research Projects Agency in response to BAA #96-43, " High-Performance Knowledge Bases ". The funded project will run for three years, beginning May 1, 1997 and ending April 30, 2000.

A three-month longitudinal case study is reported of a L2 learner's response to corrective feedback. While the major bulk of evidence indicates that correction on the whole has positive effects on the particular learner's learning, there is also evidence contradicting the popular assumption that feedback is always semantically transparent with respect to the learning problem. Confronted with co...