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» Conditional Random Fields for Multi-Camera Object Detection
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ICIP
2004
IEEE
14 years 9 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
AAAI
2008
13 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
EUROCAST
1997
Springer
156views Hardware» more  EUROCAST 1997»
13 years 11 months ago
A Computational Model for Visual Size, Location and Movement
The ability to detect object size, location and movement is essential for a visual system in either a biological or man made environment. In this paper we present a model for esti...
Miguel Alemán-Flores, K. Nicholas Leibovic,...
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
Background: Several algorithms have been proposed for detecting fluorescently labeled subcellular objects in microscope images. Many of these algorithms have been designed for spe...
Pekka Ruusuvuori, Tarmo Äijö, Sharif Cho...
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 8 months ago
Extracting Objects from the Web
Extracting and integrating object information from the Web is of great significance for Web data management. The existing Web information extraction techniques cannot provide sati...
Zaiqing Nie, Fei Wu, Ji-Rong Wen, Wei-Ying Ma