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ECCV
2006
Springer
16 years 8 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
VCIP
2003
147views Communications» more  VCIP 2003»
15 years 7 months ago
An objective method for combining multiple subjective data sets
International recommendations for subjective video quality assessment (e.g., ITU-R BT.500-11) include specifications for how to perform many different types of subjective tests. I...
Margaret H. Pinson, Stephen Wolf
EOR
2002
123views more  EOR 2002»
15 years 6 months ago
Capacity selection under uncertainty with ratio objectives
Capacity choice or expansion, whether organic or via mergers and acquisitions, creates firms of widely varying scales. The ex-post profitability of such a transformed firm relativ...
Yigal Gerchak, Elkafi Hassini, Saibal Ray
ECCV
2010
Springer
15 years 9 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...