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FLAIRS
2004
13 years 8 months ago
A Faster Algorithm for Generalized Multiple-Instance Learning
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
Qingping Tao, Stephen D. Scott
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 7 months ago
An LSB Data Hiding Technique Using Natural Numbers
In this paper, a novel data hiding technique is proposed, as an improvement over the Fibonacci LSB data-hiding technique proposed by Battisti et al. [1] based on decomposition of ...
Sandipan Dey, Ajith Abraham, Sugata Sanyal
JSAC
2010
172views more  JSAC 2010»
13 years 5 months ago
Cross-layer QoS-aware communication for ultra wide band wireless multimedia sensor networks
—Wireless Multimedia Sensor Networks (WMSNs) are distributed systems of wirelessly networked devices that allow retrieving video and audio streams, still images, and scalar senso...
Tommaso Melodia, Ian F. Akyildiz
DIS
2009
Springer
14 years 2 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 9 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...