An Anticipatory Self-Organized Map for Robust Recognition

When performing any real-time detection task, such as face detection, speech recognition, etc., we can take advantage of the temporal correlations within the data stream. This can help us make detection more robust by using anticipations about the target to overcome the variance due to noise. We present an extended self-organized map that uses lateral… CONTINUE READING