“> https://sites.google.com/view/manlearn2020/ We are organizing the Manifold Learning from Euclid to Riemann Workshop In Conjunction with the 25th International Conference On Pattern Recognition, Milan, Italy 10 – 15 January 2021 We encourage discussions on recent advances, ongoing developments, and novel applications of manifold learning, optimization, feature representations and deep learning techniques. We are soliciting original contributions that […]

******************************************************************  4th INTERNATIONAL SCHOOL ON DEEP LEARNING  DeepLearn 2021 Winter  Milan, Italy  January 11-15, 2021   Co-organized by:   Department of Information Engineering Marche Polytechnic University   Institute for Research Development, Training and Advice – IRDTA Brussels/London   https://irdta.eu/deeplearn2021w/   ******************************************************************  

We would like to invite you to submit a paper to the  Special Issue of the Journal of Combinatorial Optimization (Springer) devoted to Combinatorial Optimization in Imaging Sciences. The topics of interest include (but are not limited to): Optimization problems in discrete geometry for computer imagery Combinatorial optimization problems on digital manifolds Integer programming models and solutions Graph formulations […]

May I draw your attention on an upcoming workshop on Pattern Forecasting (PATCAST), to gather scientific contributions on forecasting, both regarding the general theory and its manifold applications across the various fields of science (computer vision, NLP, machine learning, robotics, finance, environmental sciences, bioinformatics etc.) Paper contributions are due on October 10th, 2020Please consider submitting […]

Image and Vision Computing CALL FOR PAPERS Special Issue on Advances in Domain Adaptation for Computer Vision   Aim and Scope:  In daily routines, humans, not only learn and apply knowledge for visual tasks but also have intrinsic abilities to transfer knowledge between related vision tasks. For example, if a new vision task is relevant […]