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JMLR
2008
159views more  JMLR 2008»
15 years 2 months ago
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
COGSCI
2011
31views more  COGSCI 2011»
14 years 9 months ago
Looking in the Wrong Direction Correlates With More Accurate Word Learning
Previous research on lexical development has aimed to identify the factors that enable accurate initial word-referent mappings based on the assumption that the accuracy of initial...
Stanka A. Fitneva, Morten H. Christiansen
PREMI
2005
Springer
15 years 7 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
ICPR
2000
IEEE
15 years 6 months ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen
ITS
2000
Springer
112views Multimedia» more  ITS 2000»
15 years 6 months ago
Model of an Adaptive Support Interface for Distance Learning
We developed a distributed support model in an interface for distant learning. The support is integrated into the ExploraGraph navigator which makes it possible to navigate through...
Aude Dufresne