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The Fusion of SRC and SRRC Algorithms
2014As a recently proposed technique, sparse representation based classi-fication(SRC) and sparse residue representation classification SRRChave been widely used for face recognition(FR).SRC and SRRC represent the test sample as a linear combination of training samples.
Ke Yan, Jian Cao
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DATA FUSION IN SEVERAL ALGORITHMS
Advances in Adaptive Data Analysis, 2013Data fusion consists of the process of integrating several datasets with some common variables, and other variables available only in partial datasets. The main problem of data fusion can be described as follows. From one source, having X0 and Y0 datasets (with N0 observations by multiple x and y variables, n and m of those, respectively), and from ...
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2020
Multiple source information-based autonomous navigation is essentially an estimation fusion problem. This chapter will go deep into the estimation fusion algorithm. Section 3.1 presents linear models and algorithms, mainly including linear unified model and its fusion algorithm as well as covariance intersection algorithm in the distributed fusion ...
Dayi Wang +3 more
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Multiple source information-based autonomous navigation is essentially an estimation fusion problem. This chapter will go deep into the estimation fusion algorithm. Section 3.1 presents linear models and algorithms, mainly including linear unified model and its fusion algorithm as well as covariance intersection algorithm in the distributed fusion ...
Dayi Wang +3 more
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Simulating fusion algorithms with gaming platforms
2010 13th International Conference on Information Fusion, 2010We discuss issues in testing various cognitive fusion algorithms for situation management. We provide a proof-of-principle discussion and demo showing how gaming technologies and platforms could be used to devise and test various fusion algorithms, including input, processing, and output, and we look at how the proof-of-principle could lead to more ...
Lundy M. Lewis +2 more
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Detection filters and algorithm fusion for ATR
IEEE Transactions on Image Processing, 1997Detection involves locating all candidate regions of interest (objects) in a scene independent of the object class with object distortions and contrast differences, etc., present. It is one of the most formidable problems in automatic target recognition, since it involves analysis of every local scene region.
David P. Casasent, Anqi Ye
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A Robust Fusion Algorithm for Sensor Failure
IEEE Signal Processing Letters, 2013Accurate multimodal and multisensor detection of a target phenomenon requires knowledge of probabilistic sensor characteristics to determine an appropriate fusion rule which optimizes an objective of interest, traditionally the expected Bayesian risk. However, a particular sensor characteristic can change online, introducing unaccounted additional risk
Matt Higger +2 more
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Fusion of algorithms for multiple measurement vectors
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016We consider the recovery of sparse signals that share a common support from multiple measurement vectors. The performance of several algorithms developed for this task depends on parameters like dimension of the sparse signal, dimension of measurement vector, sparsity level, measurement noise.
Deepa K. G. +2 more
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An improved image registration and fusion algorithm
Wireless Networks, 2020Under the background of telemedicine, a new registration and mosaic algorithm for medical images is proposed in this paper to solve the problems of electronic noise, uneven illumination and ray scattering in the real-time medical process. The improved Retinex algorithm by trilateral filter and homomorphic filtering algorithm can enhance the image ...
Dan Li +5 more
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Robust hyperspectral detection with algorithm fusion
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010Two simple methods are described for fusing the outputs of hyperspectral rare target detection algorithms to achieve more consistent results across a variety of images and objects of interest. The methods are demonstrated with atmospherically corrected (spectral reflectance) visible/near-infrared/shortwave-infrared and long-wavelength infrared ...
Steven M. Adler-Golden, Patrick Conforti
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Fusion algorithm not affected by the picture frame
Systems and Computers in Japan, 1985AbstractThis paper discusses the properties and the algorithms of the fusion operations, which are one of the fundamental techniques of binary image processing. First, a theoretical discussion is made for infinitely spread images, deriving several properties for the fusion operations.
Satoshi Suzuki, Keiichi Abe
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