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ECML
2006
Springer
15 years 10 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
3DOR
2008
15 years 9 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
MM
2010
ACM
137views Multimedia» more  MM 2010»
15 years 7 months ago
Unsupervised summarization of rushes videos
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre...
GRC
2010
IEEE
15 years 7 months ago
Geo-clustering of Images with Missing GeoTags
—Images with GPS coordinates are a rich source of information about a geographic location. Innovative user services and applications are being built using geotagged images taken ...
Vishwakarma Singh, Sharath Venkatesha, Ambuj K. Si...
JUCS
2008
185views more  JUCS 2008»
15 years 6 months ago
Recognising Informative Web Page Blocks Using Visual Segmentation for Efficient Information Extraction
Abstract: As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and time-consuming. A common theme is the diffi...
Jinbeom Kang, Joongmin Choi