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» Mining from Large Image Sets
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KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 6 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
16 years 15 days ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
ICCV
2007
IEEE
16 years 8 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
ICMCS
2007
IEEE
162views Multimedia» more  ICMCS 2007»
15 years 10 months ago
User-Assisted People Search in Consumer Image Collections
In this paper, we investigate the process of searching for images of specified people in the consumer family photo domain. This domain is very different from the controlled enviro...
Andrew C. Gallagher, Madirakshi Das, Alexander C. ...
TIP
2008
144views more  TIP 2008»
15 years 6 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras