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CVPR
2012
IEEE
13 years 5 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
ICC
2007
IEEE
155views Communications» more  ICC 2007»
15 years 8 months ago
Automatic Digital Signal Types Recognition Using SI-NN and HOS
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
Ataollah Ebrahimzadeh, Mehrdad Ardebilipour, Alire...
ISBI
2008
IEEE
16 years 2 months ago
Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automa...
Estelle Glory, Justin Newberg, Robert F. Murphy
ECCV
2010
Springer
15 years 3 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
ICML
2010
IEEE
15 years 3 months ago
A Conditional Random Field for Multiple-Instance Learning
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
Thomas Deselaers, Vittorio Ferrari