—Network Tomography (or network monitoring) uses end-to-end path-level measurements to characterize the network, such as topology estimation and failure detection. This work prov...
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
Oriented patterns, e.g. fingerprints, consist of smoothly
varying flow-like patterns, together with important singular
points (i.e. cores and deltas) where the orientation change...
Qijun Zhao (The Hong Kong Polytechnic University),...