We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
We present a method for object tracking over time sequence imagery. The image plane is represented with a 4-connected planar graph where vertices are associated with pixels. On ea...
Mehmet Emre Sargin, Pratim Ghosh, B. S. Manjunath,...
—We describe an approach for segmenting a moving image into regions that correspond to surfaces in the scene that are partially surrounded by the medium. It integrates both appea...
We present a polynomial time approximation algorithm for unit time precedence constrained scheduling. Our algorithm guarantees schedules which are at most 2 - 7 3p+1 factor as lon...