338 search results - page 12 / 68 » Learning Flexible Features for Conditional Random Fields |
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
NIPS
2008
14 years 11 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
NIPS
2008
14 years 11 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
120
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
101
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...