This paper presents a method to develop a class of variable memory Markov models that have higher memory capacity than traditional (uniform memory) Markov models. The structure of...
The use of HMM (Hidden Markov Models) for speech recognition has been successful for various applications in the past decades. However, the use of continuous HMM (CHMM) for melody...
This paper investigates the effect of the memory size to fame. A population of individuals of the same memory size is considered. A simple recommendation model is defined based on ...
Abstract. In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR). One challenging task within this area is the auto...
Meeting memory features are poorly integrated into current group support systems (GSS). This paper discusses how to introduce meeting memory functionality into a GSS. The paper fi...