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» Unsupervised Learning Using MML
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ICPR
2006
IEEE
14 years 9 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
CCIA
2007
Springer
14 years 2 months ago
Semantic disambiguation of taxonomies
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
David Sánchez, Antonio Moreno
ICANN
2005
Springer
14 years 2 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
KES
2004
Springer
14 years 2 months ago
Analyzing the Temporal Sequences for Text Categorization
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
Xiao Luo, A. Nur Zincir-Heywood
AGENTS
2000
Springer
14 years 1 months ago
BoB: an interactive improvisational music companion
This paper introduces a new domain for believable agents (BA) and presents novel methods for dealing with the unique challenges that arise therein. The domain is providing improvi...
Belinda Thom