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MLDM
2007
Springer
14 years 1 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
JCM
2006
129views more  JCM 2006»
13 years 7 months ago
T-ANT: A Nature-Inspired Data Gathering Protocol for Wireless Sensor Networks
There are many difficult challenges ahead in the design of an energy-efficient communication stack for wireless sensor networks. Due to the severe sensor node constraints, protocol...
S. Selvakennedy, Sukunesan Sinnappan, Yi Shang
BIOINFORMATICS
2010
108views more  BIOINFORMATICS 2010»
13 years 6 months ago
Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet
Motivation: Peaks are the key information in Mass Spectrometry (MS) which has been increasingly used to discover diseases related proteomic patterns. Peak detection is an essentia...
Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. ...
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
ICPR
2002
IEEE
14 years 8 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...