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ICML
1995
IEEE
14 years 10 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
AIRS
2004
Springer
14 years 3 months ago
A Bootstrapping Approach for Geographic Named Entity Annotation
Abstract. Geographic named entities can be classified into many subtypes that are useful for applications such as information extraction and question answering. In this paper, we ...
Seungwoo Lee, Gary Geunbae Lee
RT
2004
Springer
14 years 3 months ago
Feature-Based Textures
This paper introduces feature-based textures, a new image representation that combines features and samples for high-quality texture mapping. Features identify boundaries within a...
Ganesh Ramanarayanan, Kavita Bala, Bruce Walter
IBPRIA
2007
Springer
14 years 1 months ago
New Measure for Shape Elongation
Shape elongation is one of the basic shape descriptors that has a very clear intuitive meaning. That is reason for its applicability in many shape classification tasks. In this pap...
Milos Stojmenovic, Jovisa D. Zunic
AAAI
1990
13 years 11 months ago
Parsing a Natural Language Using Mutual Information Statistics
The purpose of this paper is to characterize a constituent boundary parsing algorithm, using an information-theoretic measure called generalized mutual information, which serves a...
David M. Magerman, Mitchell P. Marcus