Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
: Clinical guidelines reuse existing clinical procedural knowledge while leaving room for flexibility by the care provider applying that knowledge. Guidelines can be viewed as gene...
The quality of information is crucial for decision making in many mission-critical applications such as battlefield operations and intelligence analysis. However, as the system b...
Bin Yu, Srikanth Kallurkar, Ganesh Vaidyanathan, D...