detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

The problem of learning from seismic recordings has been studied for years. There is a growing interest of developing automatic mechanisms for identifying the properties of a seismic event. One main motivation is the ability have a reliable identification of manmade explosions. The availability of multiple high dimensional observations has increased the use of machine learning techniques in a v...

1. Uni ed eld theories suggest a N dimensional conguration space with N̄ = N−4 > 0 extra dimensions not perceived in nature. The common heuristic reasons for this proposition are: (i) the volume [Hausdor measure] does not scale like μH(δ,R ) = δ μH(1,R ), where δ is some length scale and 1 stands for its unity. Instead, experience tells us that increasing (or decreasing) the spacial size of an o...

We derive one- and two-dimensional models for classical electromagnetism by making use of Hadamard’s method descent. Low-dimensional is conceived as a specialization the higher-dimensional one, in which fields are uniform along additional spatial directions. This strategy yields two independent electromagnetisms coordinates four one coordinate.

annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...