In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Speaker diarization of meeting recordings is generally based on acoustic information ignoring that meetings are instances of conversations. Several recent works have shown that th...
Fabio Valente, Deepu Vijayasenan, Petr Motlí...