Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
A common design of an object recognition system has
two steps, a detection step followed by a foreground withinclass
classification step. For example, consider face detection
by...
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Reliable, inexpensive, on-the-fly networks can be established using mobile ad-hoc network (MANET) technology. Such networks can be used in a wide variety of scenarios ranging from...
The recent Nonlocal Means filter (NLM) exhibits exciting performance for image or video denoising. However, the estimation of NLM is biased and tends to keep the value of noise. I...