Gordo, A., Perronnin, F., Valveny, E., 2013. Large-scale document image retrieval and classification with runlength histograms and binary embed- dings. Pattern Recognition 46 (7), 1898 – 1905. URL http://www.sciencedirect.com/science/article/pii/S0031320312005304 

349 

350 

351 

352 

Grieve, J., 2007. Quantitative authorship attribution: An evaluation of tech- niques. Literary and Linguistic Computing 22 (3), 251–270. URL http://llc.oxfordjournals.org/cgi/doi/10.1093/llc/fqm020 

353 

354 

355 

GuttenPlag, 2011. Collaborative documentation of plagiarism. http://de.guttenplag.wikia.com. 

356 

357 

Jockers, M. L., Witten, D. M., 2010. A comparative study of machine learning methods for authorship attribution. Literary and Linguistic Computing 25 (2), 215–223. 

358 

359 

360 

Juola, P., Stamatatos, E., 2013. Overview of the Author Identification Task at PAN 2013. URL 

361 

362 

363 

Juola, P., 2006. Authorship attribution. Found. Trends Inf. Retr. 1 (3), 233– 334. URL http://dx.doi.org/10.1561/1500000005 

364 

365 

366 

Keogh, E., Lonardi, S., Ratanamahatana, C., 2004. Towards parameter-free data mining. In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp. 206–215. 

367 

368 

369 

