381 search results - page 12 / 77 » On the advantage over a random assignment |
NAACL
2003
13 years 10 months ago
2003
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
EMNLP
2006
13 years 10 months ago
2006
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
MMM
2011
Springer
13 years 26 days ago
2011
Springer
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...