A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. 摘要提出了一種新的自適應約簡(jiǎn)相關(guān)向量機回歸算法來(lái)估計圖像的光照色度以達到色彩一致性目的。
Using different train sample sets, the simulation experiment result demonstrates that the RVM method has more advantages than support vector machine method. 采用不同訓練樣本集的仿真實(shí)驗結果表明，相關(guān)向量機方法比支持向量機方法具有更多的優(yōu)點(diǎn)。
