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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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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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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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On the power of algorithm fusion
SPIE Proceedings, 2001The fusion of multiple detection/classification algorithms is proving a very powerful approach for dramatically reducing false alarm rate, while still maintaining a high probability of detection and classification. This paper presents insights on how algorithm fusion achieves these benefits.
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Indoor positioning fusion algorithm for smartphones
2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014In this paper, a particle filter based fusion algorithm running on smartphones is introduced. It adopts signals, camera and IMU to achieve an accurate indoor positioning. The fusion algorithm achieves a localization accuracy of 2 meter during 80% test time and the maximum error is 4.5 meter.
Xin Chen, Xiao Yan, Xiaolong Shen
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An Adaptive Fusion Algorithm for Spam Detection
IEEE Intelligent Systems, 2014Spam detection has become a critical component in various online systems such as email services, advertising engines, social media sites, and so on. Here, the authors use email services as an example, and present an adaptive fusion algorithm for spam detection (AFSD), which is a general, content-based approach and can be applied to nonemail spam ...
Congfu Xu +4 more
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Evaluation of multiresolution image fusion algorithms
IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004This paper is meant to mainly contribute to the comparative evaluation of image fusion algorithms used to merge the information content of spatially coregistered panchromatic and multispectral images. Multiple criteria and statistical indicators regarding the fidelity, spectral, spatial, and textural aspects of image quality are presented for objective
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