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» Challenges in Visual Data Analysis
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CVPR
2012
IEEE
13 years 6 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
119
Voted
FMICS
2010
Springer
15 years 3 months ago
Range Analysis of Microcontroller Code Using Bit-Level Congruences
Bitwise instructions, loops and indirect data access pose difficult challenges to the verification of microcontroller programs. In particular, it is necessary to show that an indir...
Jörg Brauer, Andy King, Stefan Kowalewski
117
Voted
IVS
2008
75views more  IVS 2008»
15 years 3 months ago
Perceiving patterns in parallel coordinates: determining thresholds for identification of relationships
This article presents a study that investigates the ability of humans to perceive relationships (patterns) in parallel coordinates, an ability that is crucial to the use of this p...
Jimmy Johansson, Camilla Forsell, Mats Lind, Matth...
150
Voted
BMCBI
2005
156views more  BMCBI 2005»
15 years 3 months ago
DynGO: a tool for visualizing and mining of Gene Ontology and its associations
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
Hongfang Liu, Zhang-Zhi Hu, Cathy H. Wu
138
Voted
INFOVIS
2005
IEEE
15 years 9 months ago
Revealing Structure within Clustered Parallel Coordinates Displays
In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data bu...
Jimmy Johansson, Patric Ljung, Mikael Jern, Matthe...