Target recognition
Characterization of deep neural network feature space for inverse synthetic aperture radar automatic target recognition
... improve target classification rates because machine learning can leverage large amounts of labeled ...automatic target recognition has gained interest in the past few years due to the availability of ...
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Development of multiresolution hierarchical trees to non-cooperative target recognition
... Keywords-radar, target recognition, wavelet, clustering. I. I NTRODUCTION Requirements for future air defence radar systems are detection, localization, but also identification of aircrafts. With the ...
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Development of multiresolution hierarchical trees to non-cooperative target recognition
... radar, target recognition, multiresolution, wavelet, clustering, hierarchical ...complex target and to use them in the field of target ...
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Polycarboxylated dextran as a multivalent linker: synthesis and target recognition of the antibody–nanoparticle bioconjugates in PBS and serum
... addition, target recognition of the antibody- coated NPs in whole serum using both linkers were comparable, thus suggesting that the use of the polycarboxy- lated carbohydrate is preferable to PAMAM due to ...
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Application of the multiresolution wavelet representation to non-cooperative target recognition
... E, number of zeros NZ). We can observe that the efficiency are very similar (80 % < NZ < 90 %, E > 95 %), but better performances are obtained with a hard threshold (retained energy is largest) due to a better ...
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Automatic target recognition in SAR images using multilinear analysis
... 2 avenue Gay Lussac, 78990 Elancourt, France Emails: porges@i3s.unice.fr, favier@i3s.unice.fr ABSTRACT Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images ...
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Saliency Attention and SIFT Keypoints Combination for Automatic Target Recognition on MSTAR dataset
... automatic target recognition based on synthetic aperture radar (SAR) ...ground target from the ...For recognition step, a matching approach between vector descriptors of unknown image ...
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Automatic target recognition using passive bistatic radar signals
... 8.11.3 Recognition results for the three-class experiment ...8.11.4 Recognition results for all four recognition experiments ...the recognition of air targets by using their bistatic radar ...
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Automatic target recognition with passive bistatic radars, with applications to the detection of anomalies in the civilian air traffic
... Automatic target recognition with passive bistatic radars, with applications to the detection of anomalies in the civilian air traffic Jonathan Pisane (1,2), Sylvain Azarian (2), Marc Lesturgie (2), Jacques ...
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Online Radar Target Recognition with Decoys
... In this thesis, we call these small clusters of noise objects decoys, and formalize this special problem that we call online target recognition with decoys. The most natural way to deal with such ...
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Polycarboxylated dextran as a multivalent linker: synthesis and target recognition of the antibody–nanoparticle bioconjugates in PBS and serum
... Table S1: The study of various succinic anhydride excesses in reaction with 40 kDa plain dextran. The estimates from 1 H NMR spectra are based on the comparison of the integrals corres[r] ...
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Analysis and acceleration for target recognition
... A timing test was performed to measure the time necessary to transfer all of the input (data input as well as angle input) to the hardware board and read back [r] ...
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Unsupervised Perception Model for UAVs Landing Target Detection and Recognition
... 4 Conclusion and Future Extensions We have described the procedure for the landing target detection and recog- nition based on a perception model. The algorithm is based on the Helmholtz non-accidentalness ...
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Persistence-based Structural Recognition
... 2. Related Work The past decade has witnessed a surge in popularity of BoF and its extensions for solving various computer vision problems. Among them, one particularly successful method is to form a global ...
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Tryptophan Metabolism as a Pharmacological Target
... Next-Generation Probiotics With the rapid improvement of knowledge on intestinal microbiota, a signi ficant effort to identify and characterize new microbial strains with therapeutic potential isolated from the intestine ...
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Scattering Representations for Recognition
... the spaces V d,k encode a subspace of the scattering tangent space generated by the perturbations h with largest deviations DS J E(X) (h). The variability in the scattering domain is thus approximated from an input ...
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Enhanced face recognition methods
... While PCA seeks directions in feature space that best represents the data in a sum-squared error sense, ICA seeks directions that are most independent from each other [77]. They also argue that, both pixel-based ...
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Praxis and Gesture Recognition
... References 1. Mozaz, M., Garaigordobil, M., Rothi, L.J.G., Anderson, J., Crucian, G.P.,Heilman, K.M., 2006. Posture recognition in alzheimers disease. Brain and cognition 62, 241–245. 2. Dalal, Navneet, and Bill ...
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Computer-Aided Drug Target Search
... Computer-Aided Drug Target Search Y.Z. Chen, Z.R. Li and C.Y. Ung Abstract—Identification of the unknown targets of drugs, investigative drugs and herbal ingredients is an important task in drug discovery. It can ...
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Gitlab Intégration Continue avec «On Target Testing»
... Ce projet n’aurait pu autant avancer sans la contribution de plusieurs personnes. Je tenais donc à les remercier pour leur soutien et conseils. Jérôme Corre en tant que professeur [r] ...
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