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» The Emergence of Visual Object Recognition
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ICIP
2007
IEEE
14 years 9 months ago
Object Recognition Based on Dependent Pachinko Allocation Model
Recently the "bag of words" model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called "...
Yuanning Li, Weiqiang Wang, Wen Gao
ICPR
2008
IEEE
14 years 2 months ago
Novel image feature alphabets for object recognition
Most successful object recognition systems are based on a visual alphabet of quantised gradient orientations. Here, we introduce two richer image feature alphabets for use in obje...
Martin Lillholm, Lewis D. Griffin
NN
2008
Springer
153views Neural Networks» more  NN 2008»
13 years 7 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner
ICCV
2007
IEEE
14 years 2 months ago
Latent Model Clustering and Applications to Visual Recognition
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
Simon Polak, Amnon Shashua
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 26 days ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu