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» Managing Complexity in Large Learning Robotic Systems
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MMAS
2011
Springer
13 years 2 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
DIAL
2006
IEEE
185views Image Analysis» more  DIAL 2006»
14 years 2 months ago
Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques
The availability of large, heterogeneous repositories of electronic documents is increasing rapidly, and the need for flexible, sophisticated document manipulation tools is growi...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
NAACL
1994
13 years 9 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
SEKE
1995
Springer
13 years 11 months ago
Visual Scenarios for Validation of Requirements Specification
The development of a large information system is generally regarded as one of the most complex activities undertaken by organizations and it is dependent on the communication and u...
V. Lalioti, Babis Theodoulidis
ICPR
2002
IEEE
14 years 9 months ago
View-Based Dynamic Object Recognition Based on Human Perception
Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition sy...
Arnulf B. A. Graf, Christian Wallraven, Heinrich H...