Schedule:

• 9:00-9:10 : Opening
• 9:10-10h20 : G. McLachlan "Mixture models for cluster analysis"
  Coffee break
• 10:40 - 11:25 : F. Chamroukhi "Mixture models for cluster analysis: from model-based inference to Bayesian non-parametrics"
• 11:25 - 11:50 : F. Briggs, X. Z. Fern, R. Raich, Ma. G. Betts "Multi-instance multi-label class discovery, with applications to bird bioacoustic big data"
• 11:50 - 12:10 : H. Glotin "Feature learning helps species classification and localisation : examples on 500 Amazon Birds and Hawaiian Minke whales"
• 12:10 - 12:30 : J. Razik "Sparse coding for bioacoustics, the case of the songs of the whales all over earth"
  Lunch
• 14:00 -14:30 : P. Dugan et al. "Big data whale detection"
• 14:35 -15:00 : J. Li "Unsupervised Pretraining Encourages Moderate-Sparseness"
• 15:00 - 15:25 : S. Paris "Unsupervised learning and bioacoustic source structuration"
  Coffee break
• 15:45 - 16:30 : Presentation of the Next classification Challenge in Sabiod Kaggle, and Concluding Discussions