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ACCV
2006
Springer
14 years 1 months ago
Fast Approximated SIFT
We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detec...
Michael Grabner, Helmut Grabner, Horst Bischof
BMCBI
2007
148views more  BMCBI 2007»
13 years 7 months ago
WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences
Background: This work addresses the problem of detecting conserved transcription factor binding sites and in general regulatory regions through the analysis of sequences from homo...
Giulio Pavesi, Federico Zambelli, Graziano Pesole
ICIP
2009
IEEE
13 years 5 months ago
Cat face detection with two heterogeneous features
In this paper, we propose a generic and efficient object detection framework based on two heterogeneous features and demonstrate effectiveness of our method for a cat face detecti...
Tatsuo Kozakaya, Satoshi Ito, Susumu Kubota, Osamu...
WWW
2008
ACM
14 years 8 months ago
Floatcascade learning for fast imbalanced web mining
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Gu...
CVPR
2012
IEEE
11 years 10 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