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AUSAI
2008
Springer
13 years 11 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
14 years 3 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
COLING
2002
13 years 8 months ago
Learning Verb Argument Structure from Minimally Annotated Corpora
In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the rel...
Anoop Sarkar, Woottiporn Tripasai
KI
1998
Springer
14 years 1 months ago
From Theory to Practice in Multiagent System Design: The Case of Structural Co-operation
Abstract. In Distributed Problem-solving (DPS) systems a group of purposefully designed computational agents interact and co-ordinate their activities so as to jointly achieve a gl...
Sascha Ossowski, Ana García-Serrano, Jos&ea...
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
13 years 9 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky