Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
A solution to the problem of homograph (words with multiple distinct meanings) identification is proposed and evaluated in this paper. It is demonstrated that a mixture model base...
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...