We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
The development of real-time image quality assessment algorithms is an important direction on which little research has focused. This paper presents a design of real-time implemen...
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
Annotation of large multilingual corpora remains a challenge to the data-driven approach to speech research, especially for under-resourced languages. This paper presents crosslan...
We present a technique for following a live performance in the situation where a score is not available. Making use of a local alignment between recent and longer term musical inf...