Classification via the shadow region in SAR imagery
S Papson, RM Narayanan - IEEE Transactions on Aerospace …, 2012 - ieeexplore.ieee.org
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 …
attention for automated target recognition (ATR) applications. A technique of hidden Markov …
Supporting exact indexing of arbitrarily rotated shapes and periodic time series under euclidean and warping distance measures
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 …
subroutine in most shape data mining algorithms. Given the ubiquity of shape, shape …
Multivariate and functional classification using depth and distance
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 …
of distance between data points and classes. The distance measure needs to be robust to …
Hidden Markov model-based weighted likelihood discriminant for 2-D shape classification
N Thakoor, J Gao, S Jung - IEEE Transactions on Image …, 2007 - ieeexplore.ieee.org
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 …
shape classification. Different from traditional maximum likelihood (ML) methods, in which …
Understanding Any Time Series Classifier with a Subsequence-based Explainer
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 …
data type. Unfortunately, state-of-the-art time series classifiers are black-box models and …
Nonparametric discriminant HMM and application to facial expression recognition
This paper presents a nonparametric discriminant HMM and applies it to facial expression
recognition. In the proposed HMM, we introduce an effective nonparametric output …
recognition. In the proposed HMM, we introduce an effective nonparametric output …
A new method to assess fiber laser welding quality of stainless steel 304 based on machine vision and hidden Markov models
X Tang, P Zhong, L Zhang, J Gu, Z Liu, Y Gao… - IEEE …, 2020 - ieeexplore.ieee.org
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 …
and modern intelligent manufacturing, but how to assess the quality of laser welding has …
[图书][B] The exploitation of multi-look synthetic aperture radar and inverse synthetic aperture radar images for non-cooperative target recognition
S Papson - 2007 - search.proquest.com
Synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) have proven
capabilities for non-cooperative target recognition (NCTR) applications. Both sensing …
capabilities for non-cooperative target recognition (NCTR) applications. Both sensing …
A profile hidden Markov model framework for modeling and analysis of shape
R Huang, V Pavlovic… - … Conference on Image …, 2006 - ieeexplore.ieee.org
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 …
described by a sequence of local features (eg, curvature) of the shape boundary. The …
A Time Series Data Classification Method Based on Basis Function Expansion and Bagging Framework
J Pang - 2023 IEEE 3rd International Conference on Power …, 2023 - ieeexplore.ieee.org
For the time series data classification problem, we propose a method combining basis
function expansion and Bagging framework. The proposed method can capture the …
function expansion and Bagging framework. The proposed method can capture the …