— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Stochastic computation uses pulse streams to represent numbers. In this paper, we have studied the novel method to implement the number system which uses the ratio of the number o...