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ICONIP
2007
13 years 10 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
LREC
2008
88views Education» more  LREC 2008»
13 years 10 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
NAACL
2007
13 years 10 months ago
High-Performance, Language-Independent Morphological Segmentation
This paper introduces an unsupervised morphological segmentation algorithm that shows robust performance for four languages with different levels of morphological complexity. In p...
Sajib Dasgupta, Vincent Ng
VMV
2008
197views Visualization» more  VMV 2008»
13 years 10 months ago
1-2-tree: Semantic Modeling and Editing of Trees
In computer graphics, procedural methods and Lsystems are common approaches to model complex botanical trees. In contrast to previous tree modeling systems, we propose linking rul...
Björn Ganster, Reinhard Klein
DOA
2001
117views more  DOA 2001»
13 years 10 months ago
Developing Mobile Agent Organizations: A Case Study in Digital Tourism
Mobile agents are a useful paradigm for the development of complex Internet applications. However, the effective development of mobile agent applications requires suitable models ...
Franco Zambonelli, Giacomo Cabri, Letizia Leonardi