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ICASSP
2011
IEEE
14 years 3 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
ESWS
2011
Springer
14 years 3 months ago
DataFinland - A Semantic Portal for Open and Linked Datasets
The number of open datasets available on the web is increasing rapidly with the rise of the Linked Open Data (LOD) cloud and various governmental efforts for releasing public data ...
Matias Frosterus, Eero Hyvönen, Joonas Laitio
CVPR
2007
IEEE
16 years 1 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
ICCV
2005
IEEE
16 years 1 months ago
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
This paper tackles an important aspect of the variational problems involving active contours, which has been largely overlooked so far: the optimization by gradient flows. Classic...
Guillaume Charpiat, Renaud Keriven, Jean-Philippe ...
ICIP
2006
IEEE
16 years 1 months ago
Region-Based Statistical Background Modeling for Foreground Object Segmentation
This paper proposes a novel region-based scheme for dynamically modeling time-evolving statistics of video background, leading to an effective segmentation of foreground moving ob...
Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Ma...