Sentence examples for modelling of features from inspiring English sources

Hidden Markov Models (HMMs) offer a powerful framework for temporal modelling of features extracted from time varying signals.

The data is analyzed across participants to create network models of features, performance, and values.

Lee et al., [11] used two models of features for objectionable video classification.

Our results thus challenge purely feed-forward models of feature integration (Pelli, 2008; Freeman and Simoncelli, 2011) that begin de novo after every eye movement, and implicate the involvement of brain areas beyond early visual cortex.

We study a model of feature binding in prefrontal cortex which defers specific perceptual information to lower areas and merely maintains the identity of the combination.

More than 100 million people, or roughly one out of eight of its mobile users worldwide, now regularly access the social network from more than 3,000 different models of feature phones, some costing as little as $20.

"It will reach a point where the sales of a new model of feature phone will not be able to justify the amount of time and money that is spent into developing it".

However, decision trees tend to converge to nonglobal optima (global optimization is NP-hard), and by splitting data, tend to block modeling of feature interactions; this defect can be alleviated to some extent through the use of decision forests.

The implication is that the ice is too thin to support the convective diapir model of feature formation.

Taken together, this previous work converges with animal models of feature-based attention suggesting that selection affects perceptual processes and that the selection process varies as a function of the ongoing sensory process.

Automatic annotation relies on a generative model of feature point position combined with a discriminative model of appearances.