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JTAER
2007
90views more  JTAER 2007»
15 years 7 months ago
One-size e-business adoption model does not fit all
This empirical study of organisational e-business adoption, utilising both qualitative and quantitative data collection methods, examines four major factors influencing adoption i...
Barbara Roberts, Mark Toleman
ADVAI
2010
110views more  ADVAI 2010»
15 years 1 months ago
Using Genetic Algorithms to Represent Higher-Level Planning in Simulation Models of Conflict
The focus of warfare has shifted from the Industrial Age to the Information Age, as encapsulated by the term Network Enabled Capability. This emphasises information sharing, comma...
James Moffat, Susan Fellows
ICIAP
2009
ACM
16 years 7 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
SIGIR
2008
ACM
15 years 7 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
CVPR
2007
IEEE
16 years 9 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...