Seminar consists of 12-15 presentations. Each participant gives presentation on selected topic from his/her own research, or on selected scientific paper including experimental results. Participation for, at minimum, 10 other presentations required. The course is recommended especially for PhD students but suitable also for MSc students, especially those passed the Clustering Methods course.
Organizer: Pasi Fränti
Duration: 9.5. to 30.9. (estimated)
Times: 10-15 sessions
Place: Conference room 330
(*) Some presentation topics are off-topic from clustering but they are counted as part of the seminar anyway.
9.5. 15:00 Mohammad Rezaei: Ajdusted external index for comparing clustering 18.5. 14:00 Radu Mariescu-Istodor: Properties of clustering algorithms learnt from animator 25.5. 14:00 Minjie Chen: Clustering of time series data 29.5. 14:00 Mikko Malinen: Clustering based on pairwise distances 7.6. 15:00 Karol Waga: Recommendation from user generated collection (*) 8.6. 12:00 Hongyu Li: Spectral and manifold clustering for image segmentation and retrieval (PhD defence) 25.6. 12:00 Qinpei Zhao: Cluster validity in clustering methods (PhD defence) 26.6. 12:00 Mini seminar on Machine Learning and HDR Imaging Abstracts Tapio Pahikkala: Learning preference relations with Kronecker kernels (*) Zijian Zhu: Anti-ghosting in high dynamic range imaging (*) 9.8. 15:00 Caiming Zhong: A coctail clustering ensemble 30.8. 14:15 Jie Yang: Machine Learning on Bioinformatics Abstract 31.8. 10:00 Mohammad Rezaei: Combining K-means clusterings Abstract 6.9. 15:15 Xin Sun: Predicting target for real-time routing (Res.Plan) 21.9. 12:00 Minjie Chen: Processing of maps and GPS trajectories 27.9. 14:00 Zhentian Wan: O-Mopsi orienteering game 19.10. 14:00 Xin Sun: Predicting target for real-time routing (revised)
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