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CSL
2004
Springer
14 years 9 months ago
Automatic capitalisation generation for speech input
Two different systems are proposed for the task of capitalisation generation. The first system is a slightly modified speech recogniser. In this system, every word in the vocabula...
Ji-Hwan Kim, Philip C. Woodland
AIIDE
2008
15 years 7 days ago
Automatic Generation of Game Level Solutions as Storyboards
Interactive Storytelling techniques are attracting much interest for their potential to develop new game genres but also as another form of procedural content generation, specific...
David Pizzi, Marc Cavazza, Alex Whittaker, Jean-Lu...
NIPS
1997
14 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
CVPR
2006
IEEE
15 years 12 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
ECCV
2008
Springer
15 years 11 months ago
Automatic Generator of Minimal Problem Solvers
Abstract. Finding solutions to minimal problems for estimating epipolar geometry and camera motion leads to solving systems of algebraic equations. Often, these systems are not tri...
Martin Bujnak, Tomás Pajdla, Zuzana Kukelov...