Journal of Pattern Recognition Research

Similarity and dissimilarity measures play an important role in pattern classification and clustering. For a century, researchers have searched for a good measure.

Traditionally, the calibration of safety critical nuclear instrumentation has been performed during each refueling outage. However, many nuclear plants have moved toward condition-directed rather than time-directed calibration.

In this paper, we describe a novel technique for image fusion and enhancement, using Empirical Mode Decomposition (EMD). EMD is a non-parametric data-driven analysis tool that decomposes non-linear non-stationary signals into Intrinsic Mode Functions (IMFs).

This paper reviews a few studies related to the usage of model-fitting methods in reliability assessment and prognostic framework.

Color constancy is one of the important research areas with a wide range of applications in the fields of color image processing and computer vision.

This paper presents an efficient eye detection approach for still, grey-level images with unconstrained background. The structure of the eye region is used as a robust cue to find eye pair candidates in the entire image.