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» Counting distinct objects over sliding windows
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ECCV
2008
Springer
14 years 9 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
JCP
2008
142views more  JCP 2008»
13 years 7 months ago
QoS Aware Query Processing Algorithm for Wireless Sensor Networks
In sensor networks, continuous query is commonly used for collecting periodical data from the objects under monitoring. This sort of queries needs to be carefully designed, in orde...
Jun-Zhao Sun
CIBB
2008
13 years 9 months ago
Splice Site Prediction Using Artificial Neural Networks
A system for utilizing an artificial neural network to predict splice sites in genes has been studied. The neural network uses a sliding window of nucleotides over a gene and predi...
Øystein Johansen, Tom Ryen, Trygve Eftest&o...
ECCV
2010
Springer
13 years 10 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
ICIP
2010
IEEE
13 years 5 months ago
A variational multiphase level set approach to simultaneous segmentation and bias correction
This paper presents a novel level set approach to simultaneous tissue segmentation and bias correction of Magnetic Resonance Imaging (MRI) images. We first model the distribution ...
Kaihua Zhang, Lei Zhang, Su Zhang