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» Object Recognition from Local Scale-Invariant Features
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128
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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 5 months ago
A RELIEF Based Feature Extraction Algorithm
RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
Yijun Sun, Dapeng Wu
106
Voted
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
126
Voted
MLDM
2005
Springer
15 years 9 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
145
Voted
JMM2
2006
145views more  JMM2 2006»
15 years 3 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
138
Voted
ICIP
2007
IEEE
16 years 5 months ago
Video Segmentation and Semantics Extraction from the Fusion of Motion and Color Information
In recent years, digital multimedia technologies have evolved significantly, and are finding numerous applications, over the internet, and even over mobile networks. Thus, the vid...
Alexia Briassouli, Vasileios Mezaris, Ioannis Komp...