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» Visual representation of stochastic process algebra models
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ICASSP
2009
IEEE
14 years 20 days ago
Directed Markov Stationary Features for visual classification
We investigate how to effectively incorporate spatial structure information into histogram features for boosting visual classification performance motivated by recently proposed M...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim
DAGM
2005
Springer
14 years 2 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner
3DIM
2005
IEEE
14 years 2 months ago
Determining Characteristic Views of a 3D Object by Visual Hulls and Hausdorff Distance
Nowadays, with the exponential growing of 3D object representations in private databases or on the web, it is all the more required to match these objects from some views. To impr...
Adrien Theetten, Jean-Philippe Vandeborre, Mohamed...
AAAI
2000
13 years 10 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
SIGMETRICS
2000
ACM
105views Hardware» more  SIGMETRICS 2000»
14 years 1 months ago
Using the exact state space of a Markov model to compute approximate stationary measures
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
Andrew S. Miner, Gianfranco Ciardo, Susanna Donate...