129 search results - page 14 / 26 » Expectation maximization algorithms for conditional likeliho... |
124
Voted
PRL
1998
15 years 3 months ago
1998
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
143
Voted
ISLPED
2009
ACM
15 years 10 months ago
2009
ACM
Many techniques for power management employed in advanced RTL synthesis tools rely explicitly or implicitly on observability don’t-care (ODC) conditions. In this paper we presen...
154
Voted
HUMO
2000
Springer
15 years 7 months ago
2000
Springer
We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a non-linear supervised learning archit...
110
Voted
SETN
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
114
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...