We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the stochastic correlation pat...
Yuliy M. Baryshnikov, Edward G. Coffman Jr., Kyung...
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Heterogeneous and dirty data is abundant. It is stored under different, often opaque schemata, it represents identical real-world objects multiple times, causing duplicates, and ...
Alexander Bilke, Jens Bleiholder, Christoph Bö...
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...