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» A Probability Model for Image Annotation
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SIGGRAPH
1993
ACM
15 years 5 months ago
Turbulent wind fields for gaseous phenomena
The realistic depiction of smoke, steam, mist and water reacting to a turbulent eld such as wind is an attractive and challenging problem. Its solution requires interlocking model...
Jos Stam, Eugene Fiume
MICAI
2007
Springer
15 years 8 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
CVPR
2005
IEEE
16 years 3 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager
105
Voted
CBMS
2009
IEEE
15 years 8 months ago
Scenario-oriented information extraction from electronic health records
Providing a comprehensive set of relevant information at the point of care is crucial for making correct clinical decisions in a timely manner. Retrieval of scenario specific inf...
Anis Yousefi, Negin Mastouri, Kamran Sartipi
WWW
2003
ACM
16 years 2 months ago
Bridging the P2P and WWW Divide with DISCOVIR - DIStributed COntent-based Visual Information Retrieval
In the light of image retrieval evolving from text annotation to content-based and from standalone applications to web-based search engines, we foresee the need for deploying cont...
Ka Cheung Sia, Cheuk Hang Ng, Chi-Hang Chan