computer vision; feature extraction; image matching; principal component analysis; transforms; BSIFT; KL divergence similarity score; Kullback-Leibler divergence similarity score; PCA; SIFT image features; boosting SIFT; computer vision; feature descriptor; image processing; matching stage; principal component analysis; Educational institutions; Feature extraction; Indexes; Principal component analysis; Robustness; Transforms; Vectors; KL similarity score; SIFT descriptor; corresponding points; dimension reduction; key points; principal components analysis;
机译:LPG-Model:流处理中吞吐量预测的新型模型,使用轻梯度升压机,增量主成分分析和深门控复发单元网络
机译:基于稀疏主成分分析和聚集增强树的体内血管生成血管参数的定量评估
机译:基于稀疏主成分分析和聚集升降树的血管生成的血管参数的体内定量评价
机译:BSIFT:使用主成分分析提高SIFT
机译:主成分分析中的不稳定性:由多个样本主成分组成一个共识主成分。
机译:来自巴里省空气质量监测网络的PM10和气态污染物趋势:基于两年半数据集的主成分分析和绝对主成分评分
机译:通过遗传算法提高主成分分析