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128
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CVPR
2006
IEEE
16 years 6 months ago
Incorporating the Boltzmann Prior in Object Detection Using SVM
In this paper we discuss object detection when only a small number of training examples are given. Specifically, we show how to incorporate a simple prior on the distribution of n...
Margarita Osadchy, Daniel Keren
ICPR
2006
IEEE
16 years 5 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
CVPR
2012
IEEE
13 years 6 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
112
Voted
ICDCS
2010
IEEE
15 years 5 months ago
Link-Centric Probabilistic Coverage Model for Transceiver-Free Object Detection in Wireless Networks
Abstract--Sensing coverage is essential for most applications in wireless networks. In traditional coverage problem study, the disk coverage model has been widely applied because o...
Dian Zhang, Yunhuai Liu, Lionel M. Ni
ISPA
2007
Springer
15 years 10 months ago
Binomial Graph: A Scalable and Fault-Tolerant Logical Network Topology
The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. The logical network topologies must also suppo...
Thara Angskun, George Bosilca, Jack Dongarra