Artigos de revistas sobre o tema "Fast kernel methods"
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Li, Jun-yi, e Jian-hua Li. "Fast Image Search with Locality-Sensitive Hashing and Homogeneous Kernels Map". Scientific World Journal 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/350676.
Texto completo da fonteZhai, Yuejing, Zhouzheng Li e Haizhong Liu. "Multi-Angle Fast Neural Tangent Kernel Classifier". Applied Sciences 12, n.º 21 (26 de outubro de 2022): 10876. http://dx.doi.org/10.3390/app122110876.
Texto completo da fonteShitong Wang, Jun Wang e Fu-lai Chung. "Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets". IEEE Transactions on Cybernetics 44, n.º 1 (janeiro de 2014): 1–20. http://dx.doi.org/10.1109/tsmcb.2012.2236828.
Texto completo da fonteViljanen, Markus, Antti Airola e Tapio Pahikkala. "Generalized vec trick for fast learning of pairwise kernel models". Machine Learning 111, n.º 2 (28 de janeiro de 2022): 543–73. http://dx.doi.org/10.1007/s10994-021-06127-y.
Texto completo da fonteTrifonov, P. V. "Design and decoding of polar codes with large kernels: a survey". Проблемы передачи информации 59, n.º 1 (15 de dezembro de 2023): 25–45. http://dx.doi.org/10.31857/s0555292323010035.
Texto completo da fonteRejwer-Kosińska, Ewa, Liliana Rybarska-Rusinek e Aleksandr Linkov. "On accuracy of translations by kernel independent fast multipole methods". Computers & Mathematics with Applications 124 (outubro de 2022): 227–40. http://dx.doi.org/10.1016/j.camwa.2022.08.033.
Texto completo da fonteChen, Kai, Rongchun Li, Yong Dou, Zhengfa Liang e Qi Lv. "Ranking Support Vector Machine with Kernel Approximation". Computational Intelligence and Neuroscience 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4629534.
Texto completo da fonteBian, Lu Sha, Yong Fang Yao, Xiao Yuan Jing, Sheng Li, Jiang Yue Man e Jie Sun. "Face Recognition Based on a Fast Kernel Discriminant Analysis Approach". Advanced Materials Research 433-440 (janeiro de 2012): 6205–11. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6205.
Texto completo da fonteKriege, Nils M., Marion Neumann, Christopher Morris, Kristian Kersting e Petra Mutzel. "A unifying view of explicit and implicit feature maps of graph kernels". Data Mining and Knowledge Discovery 33, n.º 6 (17 de setembro de 2019): 1505–47. http://dx.doi.org/10.1007/s10618-019-00652-0.
Texto completo da fonteJiang, Shunhua, Yunze Man, Zhao Song, Zheng Yu e Danyang Zhuo. "Fast Graph Neural Tangent Kernel via Kronecker Sketching". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 6 (28 de junho de 2022): 7033–41. http://dx.doi.org/10.1609/aaai.v36i6.20662.
Texto completo da fontePilario, Karl Ezra, Mahmood Shafiee, Yi Cao, Liyun Lao e Shuang-Hua Yang. "A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring". Processes 8, n.º 1 (23 de dezembro de 2019): 24. http://dx.doi.org/10.3390/pr8010024.
Texto completo da fonteMarch, William B., e George Biros. "Far-field compression for fast kernel summation methods in high dimensions". Applied and Computational Harmonic Analysis 43, n.º 1 (julho de 2017): 39–75. http://dx.doi.org/10.1016/j.acha.2015.09.007.
Texto completo da fonteNIE, YIMING, BIN DAI, XIANGJING AN, ZHENPING SUN, TAO WU e HANGEN HE. "FAST LANE DETECTION USING DIRECTION KERNEL FUNCTION". International Journal of Wavelets, Multiresolution and Information Processing 10, n.º 02 (março de 2012): 1250017. http://dx.doi.org/10.1142/s0219691312500178.
Texto completo da fonteKim, Do Wan, e Yongsik Kim. "Point collocation methods using the fast moving least-square reproducing kernel approximation". International Journal for Numerical Methods in Engineering 56, n.º 10 (2003): 1445–64. http://dx.doi.org/10.1002/nme.618.
Texto completo da fonteZheng, Jianwei, Hong Qiu, Xinli Xu, Wanliang Wang e Qiongfang Huang. "Fast Discriminative Stochastic Neighbor Embedding Analysis". Computational and Mathematical Methods in Medicine 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/106867.
Texto completo da fonteChan, Tsz Nam, Zhe Li, Leong Hou U, Jianliang Xu e Reynold Cheng. "Fast augmentation algorithms for network kernel density visualization". Proceedings of the VLDB Endowment 14, n.º 9 (maio de 2021): 1503–16. http://dx.doi.org/10.14778/3461535.3461540.
Texto completo da fonteHuanrui, Hao. "New Mixed Kernel Functions of SVM Used in Pattern Recognition". Cybernetics and Information Technologies 16, n.º 5 (1 de outubro de 2016): 5–14. http://dx.doi.org/10.1515/cait-2016-0047.
Texto completo da fonteCheng, Sheng-Wei, Yi-Ting Lin e Yan-Tsung Peng. "A Fast Two-Stage Bilateral Filter Using Constant Time O(1) Histogram Generation". Sensors 22, n.º 3 (25 de janeiro de 2022): 926. http://dx.doi.org/10.3390/s22030926.
Texto completo da fonteLewis, R. D., G. Beylkin e L. Monzón. "Fast and accurate propagation of coherent light". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 469, n.º 2159 (8 de novembro de 2013): 20130323. http://dx.doi.org/10.1098/rspa.2013.0323.
Texto completo da fonteWang, Yinkun, Jianshu Luo, Xiangling Chen e Lei Sun. "A Chebyshev collocation method for Hallén’s equation of thin wire antennas". COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 34, n.º 4 (6 de julho de 2015): 1319–34. http://dx.doi.org/10.1108/compel-06-2014-0142.
Texto completo da fontevan der Tol, Sebastiaan, Bram Veenboer e André R. Offringa. "Image Domain Gridding: a fast method for convolutional resampling of visibilities". Astronomy & Astrophysics 616 (agosto de 2018): A27. http://dx.doi.org/10.1051/0004-6361/201832858.
Texto completo da fonteKUANG, RUI, EUGENE IE, KE WANG, KAI WANG, MAHIRA SIDDIQI, YOAV FREUND e CHRISTINA LESLIE. "PROFILE-BASED STRING KERNELS FOR REMOTE HOMOLOGY DETECTION AND MOTIF EXTRACTION". Journal of Bioinformatics and Computational Biology 03, n.º 03 (junho de 2005): 527–50. http://dx.doi.org/10.1142/s021972000500120x.
Texto completo da fonteFRANDI, EMANUELE, RICARDO ÑANCULEF, MARIA GRAZIA GASPARO, STEFANO LODI e CLAUDIO SARTORI. "TRAINING SUPPORT VECTOR MACHINES USING FRANK–WOLFE OPTIMIZATION METHODS". International Journal of Pattern Recognition and Artificial Intelligence 27, n.º 03 (maio de 2013): 1360003. http://dx.doi.org/10.1142/s0218001413600033.
Texto completo da fonteFISCHER, T., D. LOGASHENKO, M. KIRKILIONIS e G. WITTUM. "FAST NUMERICAL INTEGRATION FOR SIMULATION OF STRUCTURED POPULATION EQUATIONS". Mathematical Models and Methods in Applied Sciences 16, n.º 12 (dezembro de 2006): 1987–2012. http://dx.doi.org/10.1142/s0218202506001789.
Texto completo da fonteShin, Kilho, Taichi Ishikawa, Yu-Lu Liu e David Lawrence Shepard. "Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites". Machine Learning and Knowledge Extraction 3, n.º 1 (14 de janeiro de 2021): 95–122. http://dx.doi.org/10.3390/make3010006.
Texto completo da fonteJiang, Hansi, Haoyu Wang, Wenhao Hu, Deovrat Kakde e Arin Chaudhuri. "Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 3991–98. http://dx.doi.org/10.1609/aaai.v33i01.33013991.
Texto completo da fonteKhatri, Ajay, Shweta Agrawal e Jyotir M. Chatterjee. "Wheat Seed Classification: Utilizing Ensemble Machine Learning Approach". Scientific Programming 2022 (2 de fevereiro de 2022): 1–9. http://dx.doi.org/10.1155/2022/2626868.
Texto completo da fonteWang, Bo, Rui Wang e YueSheng Xu. "Fast Fourier-Galerkin methods for first-kind logarithmic-kernel integral equations on open arcs". Science in China Series A: Mathematics 53, n.º 1 (janeiro de 2010): 1–22. http://dx.doi.org/10.1007/s11425-010-0014-x.
Texto completo da fonteTsuchida, Russell, Cheng Soon Ong e Dino Sejdinovic. "Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 18 (24 de março de 2024): 20559–66. http://dx.doi.org/10.1609/aaai.v38i18.30041.
Texto completo da fonteZheng, Kaiyuan, Zhiyong Zhang e Changzhen Qiu. "A Fast Adaptive Multi-Scale Kernel Correlation Filter Tracker for Rigid Object". Sensors 22, n.º 20 (14 de outubro de 2022): 7812. http://dx.doi.org/10.3390/s22207812.
Texto completo da fonteLi, Wenzong, Aichun Zhu, Yonggang Xu, Hongsheng Yin e Gang Hua. "A Fast Multi-Scale Generative Adversarial Network for Image Compressed Sensing". Entropy 24, n.º 6 (31 de maio de 2022): 775. http://dx.doi.org/10.3390/e24060775.
Texto completo da fonteBissaker, Edward, Bishnu Lamichhane e David Jenkins. "Connectivity aware simulated annealing kernel methods for coke microstructure generation". ANZIAM Journal 63 (28 de julho de 2022): C123—C137. http://dx.doi.org/10.21914/anziamj.v63.17187.
Texto completo da fonteZhao, Yuxuan, Qi Sun, Zhuolun He, Yang Bai e Bei Yu. "AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junho de 2023): 11354–62. http://dx.doi.org/10.1609/aaai.v37i9.26343.
Texto completo da fonteBao, Yang, Zhiwei Liu e Jiming Song. "Rapid Electromagnetic Modeling and Simulation of Eddy Current NDE by MLKD-ACA Algorithm with Integral Kernel Truncations". Symmetry 14, n.º 4 (1 de abril de 2022): 712. http://dx.doi.org/10.3390/sym14040712.
Texto completo da fonteHuang, Xiandong, Qinglin Wang, Shuyu Lu, Ruochen Hao, Songzhu Mei e Jie Liu. "Evaluating FFT-based Algorithms for Strided Convolutions on ARMv8 Architectures?" ACM SIGMETRICS Performance Evaluation Review 49, n.º 3 (22 de março de 2022): 28–29. http://dx.doi.org/10.1145/3529113.3529122.
Texto completo da fonteInce, Ibrahim Furkan, Yusuf Sait Erdem, Faruk Bulut e Md Haidar Sharif. "A Low-Cost Pupil Center Localization Algorithm Based on Maximized Integral Voting of Circular Hollow Kernels". Computer Journal 62, n.º 7 (5 de outubro de 2018): 1001–15. http://dx.doi.org/10.1093/comjnl/bxy102.
Texto completo da fonteShrikumar, Avanti, Eva Prakash e Anshul Kundaje. "GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs". Bioinformatics 35, n.º 14 (julho de 2019): i173—i182. http://dx.doi.org/10.1093/bioinformatics/btz322.
Texto completo da fonteFeng, Bo, Wenjun Xu, Fei Luo e Huazhong Wang. "Rytov-approximation-based wave-equation traveltime tomography". GEOPHYSICS 85, n.º 3 (27 de abril de 2020): R289—R297. http://dx.doi.org/10.1190/geo2019-0210.1.
Texto completo da fonteParubochyi, V. O., e R. Ya Shuvar. "PERFORMANCE EVALUATION OF SELF-QUOTIENT IMAGE METHODS". Ukrainian Journal of Information Technology 2, n.º 1 (2020): 8–14. http://dx.doi.org/10.23939/ujit2020.02.008.
Texto completo da fonteSaito, Shota. "Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junho de 2022): 8141–49. http://dx.doi.org/10.1609/aaai.v36i7.20787.
Texto completo da fonteBuchwald, Fabian, Tobias Girschick, Eibe Frank e Stefan Kramer. "Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships". Proceedings of the AAAI Conference on Artificial Intelligence 24, n.º 1 (4 de julho de 2010): 1268–73. http://dx.doi.org/10.1609/aaai.v24i1.7494.
Texto completo da fonteMiao, Peng, Shi Han Feng, Qi Zhang e Yuan Yuan Ji. "Real-Time Boundary Detection of Fast Moving Object in Dark Surrounds". Applied Mechanics and Materials 397-400 (setembro de 2013): 2231–34. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2231.
Texto completo da fonteChen, Yibin, Guohao Nie, Huanlong Zhang, Yuxing Feng e Guanglu Yang. "Fast motion tracking based on moth-flame optimization and kernel correlation filter". Journal of Intelligent & Fuzzy Systems 39, n.º 3 (7 de outubro de 2020): 3825–37. http://dx.doi.org/10.3233/jifs-192172.
Texto completo da fontePriambodo, Dimas Febriyan, e Ahmad Ashari. "Resource Modification On Multicore Server With Kernel Bypass". IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 14, n.º 4 (31 de outubro de 2020): 331. http://dx.doi.org/10.22146/ijccs.54170.
Texto completo da fonteZhao, Yang, Jianyi Zhang e Changyou Chen. "Self-Adversarially Learned Bayesian Sampling". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 5893–900. http://dx.doi.org/10.1609/aaai.v33i01.33015893.
Texto completo da fonteValentini, Giorgio, Alberto Paccanaro, Horacio Caniza, Alfonso E. Romero e Matteo Re. "An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods". Artificial Intelligence in Medicine 61, n.º 2 (junho de 2014): 63–78. http://dx.doi.org/10.1016/j.artmed.2014.03.003.
Texto completo da fonteJi, Xiaojia, Xuanyi Lu, Chunhong Guo, Weiwei Pei e Hui Xu. "Predictions of Geological Interface Using Relevant Vector Machine with Borehole Data". Sustainability 14, n.º 16 (15 de agosto de 2022): 10122. http://dx.doi.org/10.3390/su141610122.
Texto completo da fonteDash, Ch Sanjeev Kumar, Ajit Kumar Behera, Satchidananda Dehuri e Sung-Bae Cho. "Radial basis function neural networks: a topical state-of-the-art survey". Open Computer Science 6, n.º 1 (2 de maio de 2016): 33–63. http://dx.doi.org/10.1515/comp-2016-0005.
Texto completo da fonteIkemoto, Yusuke, Kenichiro Nishimura, Yuichiro Mizutama, Tohru Sasaki e Mitsuru Jindai. "Network Connectivity Control of Mobile Robots by Fast Position Estimations and Laplacian Kernel". Journal of Robotics and Mechatronics 32, n.º 2 (20 de abril de 2020): 422–36. http://dx.doi.org/10.20965/jrm.2020.p0422.
Texto completo da fonteRamadhan, Bima, Ilyasa pahlevi Reza yulianto, Achmad Abdurrazzaq, Fulkan Kafilah Al Husein e Bilal Charmouti. "A random exploration based fast adaptive and selective mean filter for salt and pepper noise removal in satellite digital images". Desimal: Jurnal Matematika 5, n.º 3 (20 de dezembro de 2022): 341–52. http://dx.doi.org/10.24042/djm.v5i3.14424.
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