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» Modelling perception using image processing algorithms
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ICIP
2003
IEEE
16 years 3 months ago
An entropy based segmentation algorithm for computer-generated document images
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan
COGNITIVE
2001
Springer
15 years 6 months ago
Virtual Reality and Cognitive Processes
The relationship between our actions and their perceivable results is ruled by what we call the laws of nature. It is general understanding that our actions act upon real objects ...
Olaf Diettrich
INTERSPEECH
2010
14 years 8 months ago
Predicting human perception and ASR classification of word-final [t] by its acoustic sub-segmental properties
This paper presents a study on the acoustic sub-segmental properties of word-final /t/ in conversational standard Dutch and how these properties contribute to whether humans and a...
Barbara Schuppler, Mirjam Ernestus, Wim A. van Dom...
ICCV
2007
IEEE
16 years 3 months ago
Enabling Users to Guide the Design of Robust Model Fitting Algorithms
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...
Matthias Wimmer, Freek Stulp, Bernd Radig
ICIP
2008
IEEE
16 years 3 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li