136 citations · 211 across the 14 of their papers we have counts for
4 papers · 1 filter
Combining multiple resolutions into hierarchical representations for kernel-based image classification
Yanwei Cui, Sébastien Lefevre, Laetitia Chapel +1
Geographic object-based image analysis (GEOBIA) framework has gained increasing interest recently. Following this popular paradigm, we propose a novel multiscale classification app…
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hier…
A Subpath Kernel for Learning Hierarchical Image Representations
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
Tree kernels have demonstrated their ability to deal with hierarchical data, as the intrinsic tree structure often plays a discriminative role. While such kernels have been success…
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
Adeline Bailly, Simon Malinowski, Romain Tavenard +2
Time series classification is an application of particular interest with the increase of data to monitor. Classical techniques for time series classification rely on point-to-point…