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...
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...
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. ...
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...
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...