The use of a target's shadow in synthetic aperture radar (SAR) imaging has garnered much
attention for automated target recognition (ATR) applications. A technique of hidden Markov …

Shape matching and indexing is important topic in its own right, and is a fundamental
subroutine in most shape data mining algorithms. Given the ubiquity of shape, shape …

We construct classifiers for multivariate and functional data. Our approach is based on a kind
of distance between data points and classes. The distance measure needs to be robust to …

The goal of this paper is to present a weighted likelihood discriminant for minimum error
shape classification. Different from traditional maximum likelihood (ML) methods, in which …

The growing availability of time series data has increased the usage of classifiers for this
data type. Unfortunately, state-of-the-art time series classifiers are black-box models and …

This paper presents a nonparametric discriminant HMM and applies it to facial expression
recognition. In the proposed HMM, we introduce an effective nonparametric output …

High-power fiber laser welding has a broad range of applications in industrial processing
and modern intelligent manufacturing, but how to assess the quality of laser welding has …

Synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) have proven
capabilities for non-cooperative target recognition (NCTR) applications. Both sensing …

In this paper we propose a new framework for modeling 2D shapes. A shape is first
described by a sequence of local features (eg, curvature) of the shape boundary. The …

For the time series data classification problem, we propose a method combining basis
function expansion and Bagging framework. The proposed method can capture the …