Search Results

You are looking at 1 - 10 of 41 items for :

  • home detection algorithms x
Clear All
Open access

Maarten Vanhoof, Fernando Reis, Thomas Ploetz and Zbigniew Smoreda

of Internal Migration from Mobile Phone Call Records: Evidence from Rwanda.” Information Technology for Development 18(2): 107–125. Doi: . Bojic, I., E. Massaro, A. Belyi, S. Sobolevsky, and C. Ratti. 2015. “Choosing the Right Home Location Definition Method for the given Dataset.” In Social Informatics – 7th International Conference, SocInfo 2015, Beijing, China, December 9–12, 2015, Proceedings , edited by Tie-Yan Liu, Christie Napa Scollon, and Wenwu Zhu, 9471: 194–208. Bejing: Springer. Doi: http

Open access

Atanas Ouzounov

:// 6. Dan Ellis’s Home Page, Sound Examples for Projects. Columbia University, August 2017. 7. Dietterich, T. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. - Neural Computation, Vol. 10, 1998, No 7, pp. 1895-1923. 8. ETSI, Speech Processing, Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Advanced Front-End Feature Extraction Algorithm; Compression Algorithms. ETSI ES 202 050 V1.1.5 (2007-01). Annex A.3. Stage 2 - VAD Logic. 2007, pp

Open access

Jaromir Przybylo

[7] Y. Keselman, S. Dickinson, Bridging the representation gap between models and exemplars, In Proceedings, IEEE Workshop on Models versus Exemplars in Computer Vision. Citeseer, 2001 [8] T. Kryjak, Shadow removal for greyscale video sequences, In Seminarium: Przetwarzanie i analiza sygnałów w systemach wizji i sterowania - Slok., 2012 [9] T. Kryjak, M. Komorkiewicz, M. Gorgon, Implementation of a background generation algorithm with moving object detection and shadow suppressing in spartan 6 series fpga devices (in polish

Open access

Bartłomiej Stasiak, Jędrzej Mońko and Adam Niewiadomski

on Digital Audio Effects (DAFx 2012), York, UK, pp. 1–4. Collins, N. (2005). A comparison of sound onset detection algorithms with emphasis on psychoacoustically motivated detection functions, Proceedings of the AES 118th International Convention, Barcelona, Spain , pp. 28–31. Daudet, L., Richard, G. and Leveau, P. (2004). Methodology and tools for the evaluation of automatic onset detection algorithms in music, 5th International Conference on Music Information Retrieval, ISMIR 2004, Barcelona, Spain , pp. 72–75. Davy, M. and Godsill, S

Open access

Ilze Andersone, Aleksis Liekna and Agris Ņikitenko

References [1] S. Thrun, Probabilistic robotics. The MIT Press, 2005 [2] cited: 16.08.2012. [3] H. Durrant-Whyte, T. Bailey, Simultaneous Localisation and Mapping (SLAM): Part I The Essential Algorithms, Robotics and Automation Magazine, 2006 [4] S. Thrun. Robotic mapping: A survey. Exploring artificial intelligence in the new millennium , 2003 [5] J.-G. Kang, S.-Y. An, S. Kim, S.-Y. Oh, Sonar-Based Simultaneous

Open access

Maximilián Strémy and Andrea Peterková

IASTED international Conference on Biomedical Engineering, pp. 156-160. 7. KANGAS, M., KONTTILA, A., LINDGREN, P., WINBLAD, P., AND JAMSA, T. 2008. Comparison of low-complexity fall detection algorithms for body attached accelerometers. Gait & Posture, 28(2), pp. 285-291. 8. DOUGHTY, K., LEWIS, R., McINTOSH, A. 2000. The design of a practical and reliable fall detector for community and institutional telecare. Journal of Telemedicine and Telecare, Vol. 6, pp. 150-154. 9. NOURY, N., BARRALON, P., VIRONE, G., BOISSY, P

Open access

Zenon Chaczko, Shahrzad Aslanzadeh and Jonathan Kuleff

References D. R. Barr, G. K. Poock, and F. R. Richards, Experimentation Manual Part 1: Experimentation Methodology. Monterey, California: Naval Postgraduate School, 1978. C. Charras and T. Lecroq, "Exact string matching algorithms," 1997, retrieved 13/02/12 from C. A. C. Coello, D. C. Rivera, and N. C. Cortes, "Use of an artificial immune system for job scheduling," in Artificial Immune System , J. Timmis, P. Bently, and E. Hart, Eds

Open access

Natalia Wawrzyniak and Andrzej Stateczny

features, Computer Vision Pattern Recognition, vol. 1, p. I-511-I-518, 2001. 20. Wen, X., Shao, L., Fang, W. & Xue, Y.: Efficient feature selection and classification for vehicle detection, IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 3, pp. 508–517, 2015. 21. Wen, X., Shao, L., Xue, Y., & Fang, W.: A rapid learning algorithm for vehicle classification, Inf. Sci. (Ny)., vol. 295, pp. 395–406, 2015. 22. Feineigle, P.A., Morris, D.D., Snyder, F.D.: Ship Recognition Using Optical Imagery for Harbor Surveillance, Proceedings of Association for

Open access

Muhammad Abulaish and Sajid Y. Bhat

Web Quality , ACM, 2011, 27-34. [13] Fire M., Katz G., Elovici Y., Strangers intrusion detection-detecting spammers and fake proles in social networks based on topology anomalies, Human Journal , 1, 1, 2012, 26–39. [14] Frank E., Hall M., Holmes G., Kirkby R., Pfahringer B., Witten I., Trigg L. Weka, O. Maimon and L. Rokach (Eds.), Data Mining and Knowledge Discovery Handbook , Springer, 2005, 1305-1314. [15] Freund Y., Schapire R. E., Experiments with a new boosting algorithm, in Proceedings of the 13 th International Conference on Machine

Open access

Eduardo Pinheiro, Octavian Postolache and Pedro Girão

measurements with ankle pulse width velocity and ballistocardiography. In Proc. of the 4 th Eur. Conf. of the IFMBE, Antwerp, 22, 1636-1641. [26] Inan, O., Etemadi, M., Wiard, R., Giovangrandi, L., Kovacs, G. (2008). Evaluating the foot electromyogram signal as a noise reference for a bathroom scale ballistocardiogram recorder. In Proc. of the 21 st IEEE Int. Symp. on Computer-Based Medical Systems, Jyväskylä, Finland, 70-74. [27] Jin, J., Wang, X., Li, S., Wu, Y. (2009). A novel heart rate detection algorithm in ballistocardiogram based