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KNINVI
2005
Springer
14 years 27 days ago
Representational Correspondence as a Basic Principle of Diagram Design
The timeworn claim that a picture is worth a thousand words is generally well-supported by empirical evidence, suggesting that diagrams and other information graphics can enhance h...
Christopher F. Chabris, Stephen M. Kosslyn
WSOM
2009
Springer
14 years 2 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
ECTEL
2009
Springer
14 years 2 months ago
Supporting Virtual Reality in an Adaptive Web-Based Learning Environment
Virtual Reality (VR) is gaining in popularity and its added value for learning is being recognized. However, its richness in representation and manipulation possibilities may also ...
Olga De Troyer, Frederic Kleinermann, Bram Pellens...
IJCNN
2000
IEEE
13 years 11 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
NC
2010
146views Neural Networks» more  NC 2010»
13 years 5 months ago
Petri nets for modelling metabolic pathways: a survey
Abstract. In the last fifteen years, several research efforts have been directed towards the representation and the analysis of metabolic pathways by using Petri nets. The goal o...
Paolo Baldan, Nicoletta Cocco, Andrea Marin, Marta...