This paper discusses the problem of visualizing data where there are underlying constraints that must be preserved. For example, we may know that the data are inherently positive....
Ken W. Brodlie, Muhammed Rafiq Asim, Keith Unswort...
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Human visual capability has remained largely beyond the reach of engineered systems despite intensive study and considerable progress in problem understanding, algorithms and comp...
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...
One specific problem in wide-area distributed computing environment is effective management of the vast amount of resources that are made available within the grid environment. Th...
Ghazala Shaheen, Muhammad Usman Malik, Zohair Ihsa...