Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
We describe a graphical tool for analysis and visualization of three dimensional medical data. The application is intended to help physicians interpret the geometric structures of ...
Bobi Gilburd, Michal Holtzman-Gazit, Alon Spira, D...
A ubiquitous computing environment will become a solid social infrastructure for recording human experiences in the real world and facilitating human activities. The captured acti...