The eighth annual MLSP competition: First place team

2012 IEEE International Workshop on Machine Learning for Signal Processing Pub Date : 2012-11-12 DOI:10.1109/MLSP.2012.6349771

Ankit Gupta, Shashwati Mishra, A. Mukerjee

引用次数: 1

Abstract

Our basic strategy is to examine the spatial neighborhood of the point, P, for its classification. Each point Q in P's neighborhood contributes a binary vote. The sum of these votes, VP, is compared against a threshold τ and access is granted if the value VP is greater than the threshold.

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第八届MLSP年度大赛:第一名队伍

我们的基本策略是检查点P的空间邻域，以进行分类。P邻域中的每个点Q都贡献了一个二元投票。将这些投票的总和VP与阈值τ进行比较，如果VP大于阈值，则授予访问权。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2012 IEEE International Workshop on Machine Learning for Signal Processing

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