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PAMI
2008
175views more  PAMI 2008»
15 years 3 months ago
Discriminative Feature Co-Occurrence Selection for Object Detection
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
Takeshi Mita, Toshimitsu Kaneko, Björn Stenge...
146
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A simple music/voice separation method based on the extraction of the repeating musical structure
Repetition is a core principle in music. This is especially true for popular songs, generally marked by a noticeable repeating musical structure, over which the singer performs va...
Zafar Rafii, Bryan Pardo
CVPR
2005
IEEE
16 years 5 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
JAMIA
2010
116views more  JAMIA 2010»
14 years 10 months ago
Extracting Rx information from clinical narrative
Objective The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of...
James G. Mork, Olivier Bodenreider, Dina Demner-Fu...
129
Voted
ICIP
2009
IEEE
16 years 4 months ago
Segmentation Using The Edge Strength Function As A Shape Prior Within A Local Deformation Model
This paper presents a new image segmentation framework which employs a shape prior in the form of an edge strength function to introduce a higher-level influence on the segmentati...