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IJCV
2008
188views more  IJCV 2008»
15 years 6 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ICDAR
2009
IEEE
15 years 4 months ago
Language Model Integration for the Recognition of Handwritten Medieval Documents
Building recognition systems for historical documents is a difficult task. Especially, when it comes to medieval scripts. The complexity is mainly affected by the poor quality and...
Markus Wüthrich, Marcus Liwicki, Andreas Fisc...
ENTCS
2010
97views more  ENTCS 2010»
15 years 3 months ago
A Framework for Modelling and Simulating Networks of Cells
Several complex biological phenomena are to be modelled in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartmen...
Sara Montagna, Mirko Viroli
CVPR
2006
IEEE
16 years 8 months ago
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking
The detection and tracking of three-dimensional human body models has progressed rapidly but successful approaches typically rely on accurate foreground silhouettes obtained using...
Alexandru O. Balan, Michael J. Black
EMMCVPR
2009
Springer
16 years 26 days ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...