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ICIP
2007
IEEE
15 years 11 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
HICSS
2009
IEEE
147views Biometrics» more  HICSS 2009»
15 years 4 months ago
Determining a Firm's Optimal Outsourcing Rate: A Learning Model Perspective
We present a decision model of a firm’s optimal outsourcing rate as an extension of Cha et. al [1]’s previous work on the economic risk of knowledge loss and deskilling in the...
Hoon S. Cha, David E. Pingry, Matt E. Thatcher
ICASSP
2008
IEEE
15 years 4 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...
WPES
2004
ACM
15 years 3 months ago
Specifying privacy policies with P3P and EPAL: lessons learned
As computing becomes more ubiquitous and Internet use continues to rise, it is increasingly important for organizations to construct accurate and effective privacy policies that d...
William H. Stufflebeam, Annie I. Antón, Qin...
CAISE
2004
Springer
15 years 3 months ago
A knowledge-based approach to ontology learning and semantic annotation
The so-called Semantic Web vision will certainly benefit from automatic semantic annotation of words in documents. We present a method, called structural semantic interconnections ...
Roberto Navigli, Paola Velardi