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» Extracting Randomness Using Few Independent Sources
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PAMI
2007
127views more  PAMI 2007»
13 years 6 months ago
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
—The identification of a person on the basis of scanned images of handwriting is a useful biometric modality with application in forensic and historic document analysis and const...
Marius Bulacu, Lambert Schomaker
ICANN
2010
Springer
13 years 7 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
ICHIM
2001
77views more  ICHIM 2001»
13 years 8 months ago
Networking Historical Sources: A Demand-Side Driven Approach
Many archives have introduced online archival databases in the past few years. However, apart from being independent of place and time, hardly any of these databases make finding ...
Andrea Rosenbusch
SIGIR
2009
ACM
14 years 1 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
IJON
2006
131views more  IJON 2006»
13 years 7 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...