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ESWA
2008
134views more  ESWA 2008»
14 years 8 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
ISEM
2010
105views more  ISEM 2010»
14 years 8 months ago
A roadmap to adopting emerging technology in e-business: an empirical study
This study explores the firm’s readiness for developing emerging technology in e−business. By proposing a framework that captures technological, financial, and human capabilit...
Hsin-Lu Chang
KI
2010
Springer
14 years 8 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
ICCV
2009
IEEE
14 years 7 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
ICWE
2009
Springer
14 years 7 months ago
Fine-Grained Analysis of Web Tasks through Data Visualization
Abstract. This paper presents an approach for monitoring several important aspects related to user behaviour during the execution of Web tasks1 . The approach includes the tracking...
Gennaro Costagliola, Vittorio Fuccella