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ICA
2007
Springer
15 years 5 months ago
Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses
Deriving a thematically meaningful partition of an unlabeled document corpus is a challenging task. In this context, the use of document representations based on latent thematic ge...
Xavier Sevillano, Germán Cobo, Francesc Al&...
PPSN
2000
Springer
15 years 5 months ago
Competitive Segmentation: A Struggle for Image Space
In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired f...
Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
ECAI
2008
Springer
15 years 3 months ago
Author Identification Using a Tensor Space Representation
Author identification is a text categorization task with applications in intelligence, criminal law, computer forensics, etc. Usually, in such cases there is shortage of training t...
Spyridon Plakias, Efstathios Stamatatos
BC
2007
113views more  BC 2007»
15 years 1 months ago
Akaike causality in state space
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
Kin Foon Kevin Wong, Tohru Ozaki
IJAR
2006
197views more  IJAR 2006»
15 years 1 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi