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» Visual Variability Analysis for Goal Models
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BMCBI
2010
144views more  BMCBI 2010»
14 years 9 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
74
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MM
2005
ACM
152views Multimedia» more  MM 2005»
15 years 3 months ago
A repeated video clip identification system
Identifying short repeated video clips, such as news program logo, station logo, TV commercials, etc., from broadcasting video databases or streams is important for video content ...
Xianfeng Yang, Ping Xue, Qi Tian
AVI
2004
14 years 11 months ago
ValueCharts: analyzing linear models expressing preferences and evaluations
In this paper we propose ValueCharts, a set of visualizations and interactive techniques intended to support decision-makers in inspecting linear models of preferences and evaluat...
Giuseppe Carenini, John Loyd
MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 3 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
TKDE
2002
166views more  TKDE 2002»
14 years 9 months ago
A Comprehensive Analytical Performance Model for Disk Devices under Random Workloads
Our goal with this paper is to contribute a common theoretical framework for studying the performance of disk-storage devices. Understanding the performance behavior of these devi...
Peter Triantafillou, Stavros Christodoulakis, Cost...