106 search results - page 5 / 22 » Unsupervised Greedy Learning of Finite Mixture Models |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
AAAI
2000
13 years 9 months ago
2000
We present a new domain for unsupervised learning: automatically customizing the computer to a specific melodic performer by merely listening to them improvise. We also describe B...
VLSISP
1998
13 years 7 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
PCI
2005
Springer
14 years 1 months ago
2005
Springer
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...