Zhaoshuo Zeng

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Although the KISSME approach can effectively reduce the correlation between feature vectors of samples, it can't restrain the multimodal distribution of vectors in the global level. This drawback brings negative impact on classification performance. Inspired by KISSME, we propose our fusion algorithm of Likelihood Ratio Test and cosine similarity for large(More)
  • 1