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» Unsupervised Feature Selection Using Feature Similarity
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IJCV
1998
238views more  IJCV 1998»
13 years 9 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
ESANN
2008
13 years 11 months ago
An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees
In modern thermonuclear fusion devices it is possible to distinguish distinct types of plasma confinement regimes which have different performance in terms of confinement time. Dis...
Guido Vagliasindi, Paolo Arena, Luigi Fortuna, And...
PAA
2006
13 years 10 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 4 months ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu

Publication
335views
12 years 14 days ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...