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GeoF outperforms both stateof-the-art forest models and the conventional pairwise CRF. ... Conventional decision forest based methods for image labelling tasks like object segmentation make predictions for each variable (pixel) independently [3, 5, 8] . ... Wen for making available the labelled face images to us. We are also very grateful to S. Nowozin, C. Rother, A. Fitzgibbon and J. Jancsary for inspiring and heated conversations. ...doi:10.1109/cvpr.2013.16 dblp:conf/cvpr/KontschiederKSC13 fatcat:ovuftgtg75gyjjb3xb6w34rk64
GeoF: trees for classification and regression. (PAMI), 21(12):1297– Geodesic forests for learning coupled predictors. ... Learning Prediction Nodes updating individual trees instead of the entire forest reduces Given the update rules for the decision function parame- the computational ...doi:10.1109/iccv.2015.172 dblp:conf/iccv/KontschiederFCB15 fatcat:xzvdxd6qxna3blchaadgkmtfxy