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ISNN
2007
Springer
14 years 1 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
ICASSP
2010
IEEE
13 years 8 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ICML
2005
IEEE
14 years 8 months ago
Learning approximate preconditions for methods in hierarchical plans
A significant challenge in developing planning systems for practical applications is the difficulty of acquiring the domain knowledge needed by such systems. One method for acquir...
Dana S. Nau, David W. Aha, Héctor Muñ...
LREC
2008
174views Education» more  LREC 2008»
13 years 9 months ago
UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, we generate syntactic parses of sentences in an entirely unsupervised and self-...
Christian Hänig, Stefan Bordag, Uwe Quasthoff
HICSS
2006
IEEE
176views Biometrics» more  HICSS 2006»
14 years 1 months ago
Learning by Browsing: A Web-Based Multimedia Browsing System for Learning
Multimedia, especially video, is widely used in educational applications. More and more universities and corporations now provide videotaped lectures online for knowledge sharing ...
Ming Lin, Jinwei Cao, Christopher B. R. Diller, Ja...