Research Seminar on Clustering (2 cp) 3621712


Course description

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.

Schedule

Organizer: Pasi Fränti
Duration: 9.5. to 30.9. (estimated)
Times: 10-15 sessions
Place: Conference room 330

Presentations

 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)
(*) Some presentation topics are off-topic from clustering but they are counted as part of the seminar anyway.

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