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CVPR
2009
IEEE
17 years 1 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
ICIP
2000
IEEE
16 years 8 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
IPMI
2005
Springer
16 years 7 months ago
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in bio...
Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sull...
156
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WWW
2009
ACM
16 years 7 months ago
What's up CAPTCHA?: a CAPTCHA based on image orientation
We present a new CAPTCHA which is based on identifying an image's upright orientation. This task requires analysis of the often complex contents of an image, a task which hum...
Rich Gossweiler, Maryam Kamvar, Shumeet Baluja
CVPR
2010
IEEE
16 years 1 months ago
Interest Seam Image
We propose interest seam image, an efficient visual synopsis for video. To extract an interest seam image, a spatiotemporal energy map is constructed for the target video shot. T...
Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum