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109
Voted
CVPR
2007
IEEE
16 years 2 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
GIS
2008
ACM
16 years 1 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
117
Voted
INFOCOM
2009
IEEE
15 years 7 months ago
ALDO: An Anomaly Detection Framework for Dynamic Spectrum Access Networks
—Dynamic spectrum access has been proposed as a means to share scarce radio resources, and requires devices to follow protocols that use resources in a proper, disciplined manner...
Song Liu, Yingying Chen, Wade Trappe, Larry J. Gre...
106
Voted
INFOCOM
2009
IEEE
15 years 7 months ago
An Adaptive Link Layer for Range Diversity in Multi-Radio Mobile Sensor Networks
—An important challenge in mobile sensor networks is to enable energy-efficient communication over a diversity of distances while being robust to wireless effects caused by node...
Jeremy Gummeson, Deepak Ganesan, Mark D. Corner, P...
86
Voted
SBRN
2008
IEEE
15 years 7 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...