A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Realism has always been a goal in computer graphics. However, the algorithms involved in mimicking ical world are often complex, abstract, and sensitive to changes in experimental...
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
Business process automation technologies are being increasingly used by many companies to improve the efficiency of both internal processes as well as of e-services offered to cus...