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» On Comparing Two Scenarios for Probabilistic Image Modelling
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IJCV
2007
196views more  IJCV 2007»
13 years 8 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 3 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ICIP
2007
IEEE
14 years 2 months ago
Dynamic Audio-Visual Mapping using Fused Hidden Markov Model Inversion Method
Realistic audio-visual mapping remains a very challenging problem. Having short time delay between inputs and outputs is also of great importance. In this paper, we present a new ...
Le Xin, Jianhua Tao, Tieniu Tan
ICIP
2003
IEEE
14 years 1 months ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia
MICCAI
2009
Springer
14 years 9 months ago
Setting Priors and Enforcing Constraints on Matches for Nonlinear Registration of Meshes
Abstract. We show that a simple probabilistic modelling of the registration problem for surfaces allows to solve it by using standard clustering techniques. In this framework, poin...
Benoît Combès, Sylvain Prima