Results 191 to 200 of about 11,957 (239)

Motor learning induces myelin-related white matter changes revealed by MRI-based in vivo histology. [PDF]

Commun Biol
Aye N, Kaufmann J, Heinze HJ, Düzel E, Ziegler G, Taubert M, Lehmann N.   +6 more
europepmc   +1 more source

An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning. [PDF]

Sci Rep
Kumar LR, Tata RK, Mahesh TR, Ali EM.
europepmc   +1 more source

Functional DNA Repair Profiling in Translational Medicine: Benchmarking Comet, γH2AX, and NGS Assays Against Clinical Constraints. [PDF]

Curr Issues Mol Biol
Macieja A, Poplawska M, Przybylowska-Sygut K, Makowska J, Poplawski T.   +4 more
europepmc   +1 more source

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Redefining automatic target recognition (ATR) performance standards

Proceedings of SPIE, 2011
Present descriptors for Automatic Target Recognition (ATR) performance are inadequate for use in comparing algorithms that are purported to be a solution to the problem. The use of receiver operator characteristic curves (ROCs) is a defacto standard, but they do not communicate several key performance measures, including (i) intrinsic separation ...
Donald Waagen, Charles Hester, Ben Schmid, Margaret Phillips, M. Shane Thompson, Steven Vanstone, Kelly Risko   +6 more
exaly   +2 more sources

A fuzzy hyperspectral classifier for automatic target recognition (ATR) systems

Pattern Recognition Letters, 1999
In this paper we present a fuzzy system based hyperspectral classifier for automatic target identification. The system is based on partitioning the spectral band space into clusters using a modified fuzzy C-Means clustering algorithm. Classification of each pixel is then carried out by calculating its fuzzy membership in each cluster.
Sameh M. Yamany, Aly A. Farag, Shin-Yi Hsu   +2 more
exaly   +2 more sources

Improved automatic target recognition (ATR) value through enhancements and accommodations

SPIE Proceedings, 2006
There is a strong and growing need for automatic target recognition (ATR) technologies. Those technologies have made great strides; however, there is a general sense that they are not having the full impact desired. This paper develops a value-based framework for considering how ATR technology can be made more relevant and then introduces and ...
Timothy D Ross
exaly   +2 more sources

Geospatial feature based automatic target recognition (ATR) using data models

Proceedings of SPIE, 2010
We present a method for deriving an automatic target recognition (ATR) system using geospatial features and a Data Model populated decision architecture in the form of a self-organizing knowledge base. The goal is to derive an ATR that recognizes targets it has seen before while minimizing false alarms (zero false alarms). We present an investigation
Holger Jaenisch, James Handley
exaly   +2 more sources

General quantitative approach to performance evaluation of automatic target recognition (ATR) systems

SPIE Proceedings, 2001
This paper presents a general quantitative approach to performance evaluation of ATR systems, especially for FLIR imagery. The general quantitative evaluation approach we proposed consists of three main steps. First, multiple sets of testing image sequences with significantly varying difficulty for specific environment, which can be precisely measured,
Zhaoyang Chen, Guilin Zhang
exaly   +2 more sources