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» Application of Level Set Methods in Computer Vision
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CVPR
2010
IEEE
16 years 3 months ago
Linked Edges as Stable Region Boundaries
Many of the recently popular shape based category recognition methods require stable, connected and labeled edges as input. This paper introduces a novel method to find the most st...
Michael Donoser, Hayko Riemenschneider and Horst B...
KER
2008
107views more  KER 2008»
15 years 7 months ago
Tuplespace-based computing for the Semantic Web: a survey of the state-of-the-art
Semantic technologies promise to solve many challenging problems of the present Web applications. As they achieve a feasible level of maturity, they become increasingly accepted i...
Lyndon J. B. Nixon, Elena Paslaru Bontas Simperl, ...
ICPR
2004
IEEE
16 years 8 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
ICPR
2010
IEEE
15 years 10 months ago
Kernel on Graphs Based on Dictionary of Paths for Image Retrieval
Recent approaches of graph comparison consider graphs as sets of paths [6, 5]. Kernels on graphs are then computed from kernels on paths. A common strategy for graph retrieval is ...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, P...
CVPR
2010
IEEE
16 years 2 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr