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COMSIS
2010
15 years 1 months ago
Effective semi-supervised nonlinear dimensionality reduction for wood defects recognition
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
Zhao Zhang, Ning Ye
137
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CORR
2011
Springer
147views Education» more  CORR 2011»
14 years 11 months ago
Human-Assisted Graph Search: It's Okay to Ask Questions
We consider the problem of human-assisted graph search: given a directed acyclic graph with some (unknown) target node(s), we consider the problem of finding the target node(s) b...
Aditya G. Parameswaran, Anish Das Sarma, Hector Ga...
JCAL
2010
93views more  JCAL 2010»
14 years 11 months ago
The modality effect tested in children in a user-paced multimedia environment
Abstract The modality learning effect proposes that learning is enhanced when information is presented in both the visual and the auditory domains (e.g. pictures and spoken informa...
Marijt J. Witteman, Eliane Segers
JIPS
2010
165views more  JIPS 2010»
14 years 11 months ago
IMTAR: Incremental Mining of General Temporal Association Rules
Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these...
Anour F. A. Dafa-Alla, Ho-Sun Shon, Khalid E. K. S...
JMLR
2010
172views more  JMLR 2010»
14 years 11 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....