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FTCGV
2011
122views more  FTCGV 2011»
13 years 1 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
14 years 3 months ago
Extracting Structured Data from Web Pages
Many web sites contain large sets of pages generated using a common template or layout. For example, Amazon lays out the author, title, comments, etc. in the same way in all its b...
Arvind Arasu, Hector Garcia-Molina
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
14 years 3 months ago
Classification of musical genre: a machine learning approach
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
Roberto Basili, Alfredo Serafini, Armando Stellato
WSCG
2003
149views more  WSCG 2003»
13 years 11 months ago
Boolean Operations on Feature-based Models
Boolean operations and feature-based modeling are closely linked domains. For example, several, sometimes many Boolean operations are involved during a feature instantiation or mo...
Yvon Gardan, Christian Minich, Estelle Perrin
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang