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CSDA
2010
132views more  CSDA 2010»
15 years 6 months ago
Approximate low-rank factorization with structured factors
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
Ivan Markovsky, Mahesan Niranjan
MM
1996
ACM
168views Multimedia» more  MM 1996»
15 years 10 months ago
Do Story Agents Use Rocking Chairs? The Theory and Implementation of One Model for Computational Narrative
Narrative structure models are useful tools for understanding how and why narratives of any medium affect an audience's level of participation in their role of story reconstr...
Kevin M. Brooks
AIIA
2007
Springer
16 years 6 days 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
ECML
2007
Springer
16 years 6 days ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
ICANN
2003
Springer
15 years 11 months ago
Optimizing Property Codes in Protein Data Reveals Structural Characteristics
We search for assignments of numbers to the amino acids (property codes) that maximize the autocorrelation function signal in given protein sequence data by an iterative method. Ou...
Olaf Weiss, Andreas Ziehe, Hanspeter Herzel