6/13
Drawing the conclusion of this paper.
Wrinting the abstract.
6/14
Modify the conclusion and recheck the paper in order to remove all the likely mistakes.
6/15
Prepare the power point of the new paper which will presented on thursday meeting.
Finishing my japanese homework.
6/16
Practice presentation.
6/17
Modify the paper again.
Learnning japanese and have the japanese class.
6/6 Do experiment.
6/7 Do experiment and compare the results .
6/8 Writing the introduction of the paper.
6/9 Writing the second part of the paper, proposed mrthod.
6/10 Draw the fram chart of this proposed method.
5/30
Download the experiment pictures, prepare the database.
5/31
Learning matlab and type code.
6/1
Learning matlab and type code.
6/2
Learning matlab and type code.
6/3
Learning matlab and type code.
5/23
Learning japanese language and finishing the homework .
Learning English words.
5/24
Readig the saliency papers and make a frame of the international conference.
Learning English words.
5/25
Readig the saliency papers and make a frame of the international conference.
5/26
Prepare for the conference paper
5/27
Prepare for the conference paper
5/16 Finishing the report of the mathmatical homework.
Learning japanese language.
5/17 Machine learning.
Review the japanese homework and finishing it.
5/18 Reading the DSP paper about the saliency aggregation.
Make a study plan including the future month.
5/19 Attending meeting
5/20 Machine learning
5/10 Writing the opening report data about Yangzhou University.
5/11 Complete the opening report data of Yangzhou University.
5/12 Modify the opening report data of Yangzhou University.
5/13 Study the machine leaning courses and finishing the
homework of the machine learning courses.
2/15
Writing the report of the course.
Finishing the homework of the class.
2/16
Learning the japanese language.
Doing the pratice of the homeworks.
2/17
Learning how to make the presentation PPT.
2/18
Doing the pratice of the homeworks.
2/19
Writing the report of the course.