Sentence examples for difficult recognition from inspiring English sources

Schwarze, U., Bingel, U., Badre, D. & Sommer, T. Ventral striatal activity correlates with memory confidence for old- and new-responses in a difficult recognition test.

Identical twins represent a very difficult recognition problem, and the results achieved for the recognition of identical twins are worse than the results obtained to recognize non-twins.

However, the number of recognition processes which use all three levels has obvious growth when recognizing the samples of set 3 and set 4, which means that set 3 and set 4 have more difficult recognition condition than set 2. Therefore our system can choose different hierarchy depth according to the complexity of recognition processes.

Among feature extraction methods in Table 8, it will be worth detailing bag-of-features since this rather new feature is nowadays widely used for very difficult recognition tasks such as general object recognition.

Thus, rather than examining the correlates of correct identification of warning signs and risk factors based on getting one or more of these correct, as in the Schneider et al. study, the number of correct responses was set at a minimum of two, in order to compensate for this comparatively less difficult recognition task.

This paper concentrates specifically on soft biometrics as opposed to extended attributes, and presents the results from three experiments quantifying performance gains on a difficult face recognition task when standard face recognition algorithms are augmented using soft biometrics.

We will show experimentally that explicit state duration modeling in the HMM framework can significantly improve the discriminating capacity of the HMMs to deal with very difficult pattern recognition tasks such as unconstrained Arabic handwriting recognition.

An ensemble of classifiers has been proved to be an effective way to improve classification accuracy in difficult pattern recognition environments.

Multisensor data fusion is a powerful solution for solving difficult pattern recognition problems such as the classification of bioelectrical signals.

We characterize the most difficult activity recognition state of the game: "shake dice," (performance of Stages 3 and 4 is close to perfect as they consist of significantly simpler classification services).

Close scrutiny reveals that the use of the IOB12E tag set makes difficult the recognition of chemical names that consist of two words, such as "ammonium sulphate", "allyl alcohol" and "acetate esters", which are 9.2% of the names in the CHEMDNER corpus.