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This paper proposes a method to optimize the Nonorthogonal Space Distance (NoSD) based on the Particle Swarm Optimization (PSO) algorithm so as to increase estimation accuracy in analogy-based software cost estimation. NoSD is a measure of projects similarity that uses a matrix defined based on mutual information to take both feature redundancies and feature weights into distance computation. We assumes...
Feature selection methods are designed to obtain the optimal feature subset from the original features to give the most accurate prediction. So far, supervised and unsupervised feature selection methods have been discussed and developed separately. However, these two methods can be combined together as a hybrid feature selection method for some data sets. In this paper, we propose a mutual information-based...
The latest video coding standard H.264/AVC can provide excellent performance compared with previous standards. However, the introduction of new techniques in motion estimation also brings about heavy burden of computation complexity on the video coding system. In hardware field, the subsampling technique is widely used to reduce hardware cost and release computation burden of ME engine. However, direct...
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