Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
Current Semantic Role Labeling technologies are based on inductive algorithms trained over large scale repositories of annotated examples. Frame-based systems currently make use o...
Danilo Croce, Cristina Giannone, Paolo Annesi, Rob...
In an online experiment, I apply theory from psychology and communications to find out whether group information management tasks are governed by the same communication processes...
A lot of research effort has been spent on the development of emotion theories and modeling, however, their suitability and applicability to expressions in human computer interact...
Stefan Scherer, Ingo Siegert, Lutz Bigalke, Sascha...