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» An Algorithm for Knowledge Base Extraction
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103
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ACMIDC
2009
15 years 6 months ago
Ten design lessons from the literature on child development and children's use of technology
The existing knowledge base on child development offers a wealth of information that can be useful for the design of children's technology. Furthermore, academic journals and...
Helene Gelderblom, Paula Kotzé
155
Voted
ISNN
2009
Springer
15 years 9 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
117
Voted
AIIA
2007
Springer
15 years 8 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
117
Voted
AIEDAM
2007
191views more  AIEDAM 2007»
15 years 2 months ago
Ontology-based design information extraction and retrieval
Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual desi...
Zhanjun Li, Karthik Ramani
96
Voted
ICIP
2003
IEEE
16 years 4 months ago
A method for reassembling fragments in image reconstruction
The reassembly of fragments to reconstruct images and objects is a problem often encountered in several applications, ranging from archeology to medicine. In this paper we present...
Francesco Amigoni, Stefano Gazzani, Simone Podico