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» Learning a Classification Model for Segmentation
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138
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TREC
2003
15 years 6 months ago
Report on the TREC 2003 Experiment: Genomic Track
After retrieval, this simple strategy yield to an important improvement of the average precision: from 17.02 up to 35.80. Task II. Our approach is based on argumentative structurin...
Patrick Ruch, Gilles Cohen, Frédéric...
ECCV
2004
Springer
16 years 6 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
CVPR
2010
IEEE
15 years 10 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi
223
Voted
CVPR
2012
IEEE
13 years 7 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
CITA
2005
IEEE
15 years 10 months ago
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams
- We present an architecture for data streams based on structures typically found in web cache hierarchies. The main idea is to build a meta level analyser from a number of levels ...
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirk...