Results 11 to 20 of about 5,097,408 (330)

G3Detector: General GPT-Generated Text Detector

, 2023
Encounter some tech bugs, need to refresh corresponding ...
Zhan, Haolan, He, Xuanli, Xu, Qiongkai, Wu, Yuxiang, Stenetorp, Pontus   +4 more
openaire   +2 more sources

Object Detection Adversarial Attack for Infrared Imagery in Remote Sensing [PDF]

Hangkong bingqi, 2022
Aiming at the problems of poor effect of existing adversarial attack for object detection algorithms on small-scale target attack, a large number of meaningless disturbances in adversarial samples and low disturbance genera-tion efficiency, taking ...
Qi Jiahao, Zhang Yu, Wan Pengcheng, Li Yuanzhe, Liu Xingyue, Yao Aihuan, Zhong Ping
doaj   +1 more source

Generative part-based Gabor object detector [PDF]

Pattern Recognition Letters, 2015
Probabilistic local part descriptor using complex-valued Gabor feature bank.Alternative approach using a large Gabor filter bank and part specific optimization.Randomized Gaussian mixture model robust to a small number of training examples.Probabilistic part constellation model in "aligned object space".Part-based "pose quantization" that provides pose
Kämäräinen Joni-Kristian, Riabchenko Ekaterina, Kämäräinen Joni   +2 more
openaire   +1 more source

SSD: Single Shot MultiBox Detector [PDF]

European Conference on Computer Vision, 2015
We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location ...
W. Liu, Dragomir Anguelov, D. Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, A. Berg   +6 more
semanticscholar   +1 more source

Negative Selection Algorithm Based on Antigen Density Clustering

IEEE Access, 2020
The negative selection algorithm (NSA) is one of the basic algorithms of the artificial immune system. In the traditional negative selection algorithm, candidate detectors are randomly generated without considering the uneven distributions of self ...
Chao Yang, Lin Jia, Bing-Qiu Chen, Hai-Yang Wen   +3 more
doaj   +1 more source

Advanced Virgo: a second-generation interferometric gravitational wave detector [PDF]

, 2014
Advanced Virgo is the project to upgrade the Virgo interferometric detector of gravitational waves, with the aim of increasing the number of observable galaxies (and thus the detection rate) by three orders of magnitude. The project is now in an advanced
F. Acernese, M. Agathos, K. Agatsuma, D. Aisa, N. Allemandou, A. Allocca, J. Amarni, P. Astone, G. Balestri, G. Ballardin, F. Barone, J. Baronick, M. Barsuglia, A. Basti, F. Basti, T. Bauer, V. Bavigadda, M. Bejger, M. Beker, C. Belczynski, D. Bersanetti, A. Bertolini, M. Bitossi, M. Bizouard, S. Bloemen, M. Blom, M. Boer, G. Bogaert, D. Bondi, F. Bondu, L. Bonelli, R. Bonnand, V. Boschi, L. Bosi, T. Bouedo, C. Bradaschia, M. Branchesi, T. Briant, A. Brillet, V. Brisson, T. Bulik, H. Bulten, D. Buskulic, C. Buy, G. Cagnoli, E. Calloni, C. Campeggi, B. Canuel, F. Carbognani, F. Cavalier, R. Cavalieri, G. Cella, E. Cesarini, E. Mottin, A. Chincarini, A. Chiummo, S. Chua, F. Cleva, E. Coccia, P. Cohadon, A. Colla, M. Colombini, A. Conte, J. Coulon, E. Cuoco, A. Dalmaz, S. D’Antonio, V. Dattilo, M. Davier, R. Day, G. Debreczeni, J. Degallaix, S. Del'eglise, W. D. Pozzo, H. Dereli, R. Rosa, L. Fiore, A. Lieto, A. Virgilio, M. Doets, V. Dolique, M. Drago, M. Ducrot, G. Endrőczi, V. Fafone, S. Farinon, I. Ferrante, F. Ferrini, F. Fidecaro, I. Fiori, R. Flaminio, J. Fournier, S. Franco, S. Frasca, F. Frasconi, L. Gammaitoni, F. Garufi, M. Gaspard, A. Gatto, G. Gemme, B. Gendre, Eric Genin, A. Gennai, S. Ghosh, L. Giacobone, A. Giazotto, R. Gouaty, M. Granata, G. Greco, P. Groot, G. Guidi, J. Harms, A. Heidmann, H. Heitmann, P. Hello, G. Hemming, E. Hennes, D. Hofman, P. Jaranowski, R. Jonker, M. Kasprzack, F. K'ef'elian, I. Kowalska, M. Kraan, A. Kr'olak, A. Kutynia, C. Lazzaro, M. Leonardi, N. Leroy, N. Letendre, T. Li, B. Lieunard, M. Lorenzini, V. Loriette, G. Losurdo, C. Magazzù, E. Majorana, I. Maksimovic, V. Malvezzi, N. Man, V. Mangano, M. Mantovani, F. Marchesoni, F. Marion, J. Marque, F. Martelli, L. Martellini, A. Masserot, D. Meacher, J. Meidam, F. Mezzani, C. Michel, L. Milano, Y. Minenkov, A. Moggi, M. Mohan, M. Montani, N. Morgado, B. Mours, F. Mul, M. Nagy, I. Nardecchia, L. Naticchioni, G. Nelemans, I. Neri, M. Neri, F. Nocera, E. Pacaud, C. Palomba, F. Paoletti, A. Paoli, A. Pasqualetti, R. Passaquieti, D. Passuello, M. Perciballi, S. Petit, M. Pichot, F. Piergiovanni, G. Pillant, A. Piluso, L. Pinard, R. Poggiani, M. Prijatelj, G. Prodi, M. Punturo, P. Puppo, D. Rabeling, I. R'acz, P. Rapagnani, M. Razzano, V. Re, T. Regimbau, F. Ricci, F. Robinet, A. Rocchi, L. Rolland, R. Romano, D. Rosińska, P. Ruggi, E. Saracco, B. Sassolas, F. Schimmel, D. Sentenac, V. Sequino, S. Shah, K. Siellez, N. Straniero, B. Swinkels, M. Tacca, M. Tonelli, F. Travasso, M. Turconi, G. Vajente, N. van Bakel, M. van Beuzekom, J. V. D. van den Brand, C. Van Den Broeck, M. van der Sluys, J. van Heijningen, M. Vas'uth, G. Vedovato, J. Veitch, D. Verkindt, F. Vetrano, A. Vicer'e, J. Vinet, G. Visser, H. Vocca, R. Ward, M. Was, L.-W. Wei, M. Yvert, A. Z. zny, J. Zendri   +233 more
semanticscholar   +1 more source

Status of the Baikal-GVD Neutrino Telescope [PDF]

EPJ Web of Conferences, 2019
Currently in Lake Baikal a new-generation neutrino telescope is being deployed: Baikal-GVD, a deep underwater Cherenkov detector on the cubic-kilometer scale.
Avrorin A.D., Avrorin A.V., Aynutdinov V.M., Bannash R., Belolaptikov I.A., Brudanin V.B., Budnev N.M., Doroshenko A.A., Domogatsky G.V., Dvornický R., Dyachok A.N., Dzhilkibaev Zh.-A.M., Fajt L., Fialkovsky S.V., Gafarov A.R., Golubkov K.V., Gorshkov N.S., Gres T.I., Kebkal K.G., Kebkal O.G., Khramov E.V., Kolbin M.M., Konischev K.V., Korobchenko A.V., Koshechkin A.P., Kozhin V.A., Kruglov M.V., Kryukov M.K., Kulepov V.F., Kuleshov D.A., Milenin M.B., Mirgazov R.A., Nazari V., Panfilov A.I., Petukhov D.P., Pliskovsky E.N., Rozanov M.I., Rjabov E.V., Rushay V.D., Safronov G.B., Šimkovic F., Skurichin A.V., Shaybonov B.A., Solovjev A.G., Sorokovikov M.N., Shelepov M.D., Suvorova O.V., Shtekl I., Tabolenko V.A., Tarashansky B.A., Yakovlev S.A., Zagorodnikov A.V.   +51 more
doaj   +1 more source

An Improved Negative Selection Algorithm Based on Subspace Density Seeking

IEEE Access, 2017
Negative selection algorithm (NSA) is an important method for generating detectors in artificial immune systems. Traditional NSAs randomly generate detectors in the whole feature space.
Zhengjun Liu, Tao Li, Jin Yang, Tao Yang
doaj   +1 more source

Triple Michelson Interferometer for a Third-Generation Gravitational Wave Detector [PDF]

, 2009
The upcoming European design study `Einstein gravitational-wave Telescope' represents the first step towards a substantial, international effort for the design of a third-generation interferometric gravitational wave detector.
, , A Freise, A Perreca, A Vecchio, Acernese F, Ajith P, Chatterji S, Dhurandhar S V, Fritschel P, Hecht E, Hewitson M, Hild S, Hild S, Kuroda K, LISA, Lück H, Maischberger K, Malykin G B, Ohashi M, S Chelkowski, S Hild, Sigg D, Takahashi R, W Del Pozzo, Wen L, Will C M, Willke B, Winkler W   +28 more
core   +1 more source

Design of a speed meter interferometer proof-of-principle experiment [PDF]

, 2014
The second generation of large scale interferometric gravitational wave detectors will be limited by quantum noise over a wide frequency range in their detection band.
Barr, B. W., Bell, A. S., Campbell, F., Cumming, A. V., Danilishin, S. L., Gordon, N. A., Gräf, C., Hammond, G. D., Hennig, J., Hild, S., Houston, E. A., Huttner, S. H., Jones, R. A., Leavey, S. S., Lück, H., Macarthur, J., Marwick, M., Rigby, S., Schilling, R., Sorazu, B., Spencer, A., Steinlechner, S., Strain, K. A.   +22 more
core   +3 more sources