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ICCV
2007
IEEE
14 years 10 months ago
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a...
Michael Jamieson, Afsaneh Fazly, Sven J. Dickinson...
ADHOC
2008
103views more  ADHOC 2008»
13 years 8 months ago
Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization
Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-...
Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao ...
AHSWN
2006
206views more  AHSWN 2006»
13 years 8 months ago
Zone-Based Intrusion Detection for Mobile Ad Hoc Networks
ABSTRACT Intrusion Detection Systems (IDSs) for Mobile Ad hoc NETworks (MANETs) are indispensable since traditional intrusion prevention based techniques are not strong enough to p...
Bo Sun, Kui Wu, Udo W. Pooch
ICASSP
2008
IEEE
14 years 2 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
ICML
2003
IEEE
14 years 9 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller