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» Using model knowledge for learning inverse dynamics
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CMSB
2007
Springer
14 years 3 months ago
Expressive Models for Synaptic Plasticity
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
CIKM
2008
Springer
13 years 11 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
VRST
2004
ACM
14 years 2 months ago
Animating reactive motions for biped locomotion
In this paper, we propose a new method for simulating reactive motions for running or walking human figures. The goal is to generate realistic animations of how humans compensate...
Taku Komura, Howard Leung, James Kuffner
MICCAI
2009
Springer
14 years 10 months ago
Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data
Pulmonary valve disease affects a significant portion of the global population and often occurs in conjunction with other heart dysfunctions. Emerging interventional methods enable...
Dime Vitanovski, Razvan Ioan Ionasec, Bogdan Geo...
ESWA
2011
220views Database» more  ESWA 2011»
13 years 11 days ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...