Sentence examples for classification contest from inspiring English sources

Using linear support vector machine (SVM), their method won the first prize in HEp-2 cell classification contest with around 69% of classification accuracy.

The results show that our approach is one of the leading classifiers when comparing with other participants in the HEp-2 Cells Classification Contest [1].

We first test performance of the proposed LLDC method on the ICPR 2012 dataset following the experimental protocol of the HEp-2 cells classification contest by dividing the cell images into a training set and a test set.

In order to evaluate the performance of the proposed LLDC method, we use two HEp-2 cells datasets: the ICPR 2012 HEp-2 cell classification contest dataset (ICPR 2012 dataset) and International Conference on Image Processing (ICIP) 2013 Competition on cells classification by fluorescent image analysis training dataset (ICIP 2013 training dataset).

Due to the great impact of staining pattern classification of HEp-2 cells on clinical practice, to make the comparisons among different approaches available, the first edition of the HEp-2 Cells Classification Contest hosted by the International Conference on Pattern Recognition (ICPR) 2012 with a publicly available HEp-2 cell database (ICPR 2012 dataset) was released.

The court ruled that foreigners imprisoned at Guantánamo Bay, Cuba, as well as American citizens held in the United States are entitled to contest their classification before an impartial judge.

And the break contained nobody who was a threat to Team Sky, Saxo-Tinkoff or Belkin, the three teams contesting the general classification - the highest placed rider was American Andrew Talansky, who began the day 17th overall, 13 minutes and 11 seconds behind Froome.

At the Library Hotel in New York, where individual floors are assigned numbers from the Dewey decimal system and rooms have books within that classification, the hotel ran a haiku contest in April to celebrate National Poetry Month.

Inspired by the first edition of the contest for HEp-2 cells classification, increasing researches aroused for improving the performance of HEp-2 cells classification.

Lampre-Polti finished as the winners of the team classification, ranking each of the twenty teams contesting the race by lowest cumulative time.

It is worth noting that the LLDC method outperforms CoALBP [28] which is the winner of the contest with 70.4% of the cell-level classification accuracy and 68.4% of recall.