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» Boosting Object Detection Using Feature Selection
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CVPR
2012
IEEE
13 years 7 months ago
A data driven method for feature transformation
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Mert Dikmen, Derek Hoiem, Thomas S. Huang
148
Voted
PERCOM
2007
ACM
16 years 4 months ago
Using Digital Cameras for Text Input on Mobile Devices
This paper presents novel text input methods for mobile devices. In particular, it shows how users can capture text from books, newspapers, and other objects by using the digital ...
Frank Siegemund, Muhammad Haroon
165
Voted
ECCV
2008
Springer
16 years 7 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 9 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
DSN
2008
IEEE
15 years 11 months ago
Using likely program invariants to detect hardware errors
In the near future, hardware is expected to become increasingly vulnerable to faults due to continuously decreasing feature size. Software-level symptoms have previously been used...
Swarup Kumar Sahoo, Man-Lap Li, Pradeep Ramachandr...