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» Nonlinear Mapping Networks
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140
Voted
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 8 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
119
Voted
MM
2004
ACM
99views Multimedia» more  MM 2004»
15 years 8 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
140
Voted
ER
1999
Springer
196views Database» more  ER 1999»
15 years 6 months ago
A Process-Integrated Conceptual Design Environment for Chemical Engineering
Abstract. The process industries (chemicals, food, oil, ...) are characterized by - continuous or batch -- processes of material transformation. The design of such processes, and t...
Matthias Jarke, Thomas List, Klaus Weidenhaupt
118
Voted
ACMACE
2008
ACM
15 years 4 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
BILDMED
2007
107views Algorithms» more  BILDMED 2007»
15 years 4 months ago
Whole Body MRI Intensity Standardization
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction ...
Florian Jäger, László G. Ny&uac...