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» Structured metric learning for high dimensional problems
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ICANN
2005
Springer
14 years 1 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
WISE
2002
Springer
14 years 15 days ago
A Unified Framework for Clustering Heterogeneous Web Objects
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
APGV
2006
ACM
138views Visualization» more  APGV 2006»
13 years 9 months ago
Verification of rendering quality from measured BTFs
One of the most important, still unsolved problems in computer graphics is the generation of predictive imagery, i.e., images that represent perfect renditions of reality. Such pe...
Jan Meseth, Gero Müller, Reinhard Klein, Flor...
BMCBI
2010
164views more  BMCBI 2010»
13 years 7 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu