We analyze the structure of random graphs generated by the geographical threshold model. The model is a generalization of random geometric graphs. Nodes are distributed in space, a...
We analyze some of the visual properties of the HSV (Hue, Saturation and Value) color space and develop an image segmentation technique using the results of our analysis. In our me...
A. Vadivel, M. Mohan, Shamik Sural, Arun K. Majumd...
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...