51 search results - page 3 / 11 » Discriminative Language Modeling with Conditional Random Fie... |
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
ATAL
2007
Springer
14 years 16 days ago
2007
Springer
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
ICDAR
2007
IEEE
14 years 20 days ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
CVPR
2009
IEEE
15 years 1 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...