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» Learning the Relative Importance of Features in Image Data
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109
Voted
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
16 years 4 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan
113
Voted
ICIP
2009
IEEE
16 years 4 months ago
Bim: Image Matching Using Biological Gene Sequence Alignment
Matching two images with similar contents is one of the most fundamental tasks in image processing. Due to its importance, in recent years, many novel techniques have been propose...
127
Voted
AAAI
2007
15 years 6 months ago
Analyzing Reading Behavior by Blog Mining
This paper presents a study of the various aspects of blog reading behavior. The analyzed data are obtained from a Japanese weblog hosting service, Doblog. Four kinds of social ne...
Tadanobu Furukawa, Mitsuru Ishizuka, Yutaka Matsuo...
159
Voted
EMMCVPR
2011
Springer
14 years 3 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
133
Voted
MEMICS
2010
14 years 10 months ago
Efficient Computation of Morphological Greyscale Reconstruction
Morphological reconstruction is an important image operator from mathematical morphology. It is very often used for filtering, segmentation, and feature extraction. However, its c...
Pavel Karas