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ESANN
2008
15 years 8 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
MVA
1990
137views Computer Vision» more  MVA 1990»
15 years 8 months ago
Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data
Modeling and recognition of 3D objects by surface is an important problem in machine vision. Given a large number of range data points of an object surface, we present a relaxatio...
Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwa...
186
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BMCBI
2007
168views more  BMCBI 2007»
15 years 7 months ago
Benchmarking consensus model quality assessment for protein fold recognition
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Liam J. McGuffin
IJCV
2000
164views more  IJCV 2000»
15 years 6 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
IJCV
2000
180views more  IJCV 2000»
15 years 6 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe