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EDO
2000
Springer
14 years 1 months ago
Using Model Checking to Detect Deadlocks in Distributed Object Systems
Abstract. We demonstratehow the use of synchronizationprimitives and threading policies in distributed object middleware can lead to deadlocks. We identify that objectmiddleware on...
Nima Kaveh
ECCV
2010
Springer
13 years 11 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
BMCBI
2010
143views more  BMCBI 2010»
13 years 10 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...
ECCV
2008
Springer
15 years 2 days ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
14 years 3 months ago
Cooperative Coevolution Fusion for Moving Object Detection
In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can...
Sohail Nadimi, Bir Bhanu