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IJCNN
2007
IEEE
14 years 2 days ago
Incorporating Forgetting in a Category Learning Model
— 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...
Yasuaki Sakamoto, Toshihiko Matsuka
MVA
2007
185views Computer Vision» more  MVA 2007»
13 years 7 months ago
An Efficient Method for Human Behavior Identification
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 ...
Fang-Hsuan Cheng, Fu-Tai Chen
MCS
2004
Springer
13 years 11 months ago
Multiple Classifiers System for Reducing Influences of Atypical Observations
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...
Sarunas Raudys, Masakazu Iwamura
BMCBI
2004
176views more  BMCBI 2004»
13 years 5 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
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...
Kai Huang, Robert F. Murphy
ISCAS
1994
IEEE
92views Hardware» more  ISCAS 1994»
13 years 10 months ago
A Study on the Stochastic Computation Using the Ratio of One Pulses and Zero Pulses
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...
Seung-Jai Min, Eel-Wan Lee, Soo-Ik Chae