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Object classification by fusing SVMs and Gaussian mixtures
2010
Pattern Recognition
We present a new technique that employs support vector machines (SVMs) and Gaussian mixture densities (GMDs) to create a generative/discriminative object classification technique using local image features. In the past, several approaches to fuse the advantages of generative and discriminative approaches were presented, often leading to improved robustness and recognition accuracy. Support vector machines are a well known discriminative classification framework but, similar to other
doi:10.1016/j.patcog.2010.02.002
fatcat:t4g4nn6nr5bazcyzc5ypl5gkza