Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communi...
G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengd...
In an embedded system, it is common to have several memory areas with different properties, such as access time and size. An access to a specific memory area is usually restricted...
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
The elevation function on a smoothly embedded 2-manifold in R3 reflects the multiscale topography of cavities and protrusions as local maxima. The function has been useful in iden...
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...