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» Component Frameworks - A Case Study
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BMCBI
2008
147views more  BMCBI 2008»
15 years 5 months ago
Simple integrative preprocessing preserves what is shared in data sources
Background: Bioinformatics data analysis toolbox needs general-purpose, fast and easily interpretable preprocessing tools that perform data integration during exploratory data ana...
Abhishek Tripathi, Arto Klami, Samuel Kaski
CGF
2011
14 years 8 months ago
Walking On Broken Mesh: Defect-Tolerant Geodesic Distances and Parameterizations
Efficient methods to compute intrinsic distances and geodesic paths have been presented for various types of surface representations, most importantly polygon meshes. These meshe...
Marcel Campen, Leif Kobbelt
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 5 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
MICAI
2000
Springer
15 years 8 months ago
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
Teófilo Emídio de Campos, Rogé...
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BMCBI
2007
167views more  BMCBI 2007»
15 years 4 months ago
MindSeer: a portable and extensible tool for visualization of structural and functional neuroimaging data
Background: Three-dimensional (3-D) visualization of multimodality neuroimaging data provides a powerful technique for viewing the relationship between structure and function. A n...
Eider B. Moore, Andrew V. Poliakov, Peter Lincoln,...