3 accepted papers
Current formulations of critically-sampled graph wavelet filterbanks work only for bipartite graphs where downsampling signals on either partition leads to a spectrum folding phenomenon. The lack of such a natural downsampling scheme for arbitrary graphs poses difficulties in designing filterbanks.…
The advent of advanced acquisition techniques in 3D media applications has led to an increasing trend of capturing dynamic objects and scenes via 3D point cloud sequences. This form of data is composed of time-indexed frames, each consisting of a collection of points with position and color attribut…
Graph-based methods play an important role in unsupervised and semi-supervised learning tasks by taking into account the underlying geometry of the data set. In this paper, we consider a statistical setting for semi-supervised learning and provide a formal justification of the recently introduced fr…