Keywords: spatial/space-temporal/time clustering/segmentation



Individual Papers

  • Dynamic Time-Alignment Kernel in Support Vector Machine, NeurIPS-2002
    • A new distance metric (kernel) is proposed to measure the similarity of temporal events.
    • One major difference is the kernel here can handle variable length sequence, hence can be directly used on temporal sequence, such as speech.
  • Spatiotemporal Data Mining: A Computational Perspective, Geo-Information-2015
    • An organized survey on spatiotemporal data mining


[NeruIPS-2002] Shimodaira, H., Noma, K. I., Nakai, M., & Sagayama, S. (2002). Dynamic time-alignment kernel in support vector machine. In NeruIPS (pp. 921-928).

[Geo-Information-2015] Shekhar, S., Jiang, Z., Ali, R., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015). Spatiotemporal data mining: A computational perspective. ISPRS International Journal of Geo-Information, 4(4), 2306-2338.