H13-321_V2.0-ENU Exam Question 56

() features and Adaboost algorithm are used together to achieve good results in face detection.

H13-321_V2.0-ENU Exam Question 57

The model parameters of the hidden Markov model include sequence length, transition probability, initial probability and emission frequency.
  • H13-321_V2.0-ENU Exam Question 58

    Huawei's facial recognition service is an intelligent service that uses computers to process, analyze and understand facial images to perform identity recognition based on facial feature information.
    What services does Huawei's identification service currently provide? (Multiple choice)
  • H13-321_V2.0-ENU Exam Question 59

    When using ModelArts automatic learning to build a predictive analysis project, after the model training is completed for the classification problem, which of the following options will be displayed in the evaluation results? (Multiple choice)
  • H13-321_V2.0-ENU Exam Question 60

    For a pixel P with coordinates (x, y), P has four horizontal and vertical neighboring pixels, called a 4-neighborhood. Which of the following can correctly represent the coordinates of the 4-neighborhood?