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ECCV
2000
Springer
13 years 12 months ago
Anti-Faces for Detection
This paper offers a novel detection method, which works well even in the case of a complicated image collection – for instance, a frontal face under a large class of linear tran...
Daniel Keren, Margarita Osadchy, Craig Gotsman
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 11 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
NIPS
2004
13 years 9 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 8 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
BMCBI
2010
157views more  BMCBI 2010»
13 years 7 months ago
SeqTrim: a high-throughput pipeline for pre-processing any type of sequence read
Background: High-throughput automated sequencing has enabled an exponential growth rate of sequencing data. This requires increasing sequence quality and reliability in order to a...
Juan Falgueras, Antonio J. Lara, Noé Fern&a...