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ICONIP
2007
15 years 8 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
AAAI
2006
15 years 8 months ago
Explicit Passive Analysis in Electronic Catalogs
We consider example-critiquing systems that help people search for their most preferred item in a large catalog. We first analyze how such systems can help users in the framework ...
David Portabella Clotet, Martin Rajman
MVA
1992
105views Computer Vision» more  MVA 1992»
15 years 8 months ago
Image Sequence Analysis Using Color Multiplex Image
The analysis of color image sequence is very heavy if the analysis is carried out for each image. But, in many practical cases, there is no need to know the precise motion and sha...
Yoshitomo Yaginuma, Masao Sakauchi
ECAI
2010
Springer
15 years 8 months ago
Multi Grain Sentiment Analysis using Collective Classification
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
S. Shivashankar, B. Ravindran
203
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CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 7 months ago
Towards Performance Measurement And Metrics Based Analysis of PLA Applications
This article is about a measurement analysis based approach to help software practitioners in managing the additional level complexities and variabilities in software product line...
Zeeshan Ahmed