Personal Information
Organization / Workplace
Lansing, Michigan Area United States
Occupation
PHD Candidate
Industry
Education
Website
http://www.msu.edu/
About
Passionate about data science, data mining, pattern recognition, and large scale data analysis
Solid understanding of statistical analysis methods, pattern recognition and machine learning
Proficient programming skills in R, python, MATLAB, C/C++, and developing robust numerical codes
Tags
deep learning
clustering
wacv 2019
computer vision
wacv
soft biometrics
semi-adversarial networks
san
face recognition
artificial neural networks
pattern recognition
algorithms
big data
truetime
vector clock
google
logical time
disk-based
k-means
databases
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Presentations
(5)Likes
(3)Optimal interval clustering: Application to Bregman clustering and statistical mixture learning
Frank Nielsen
•
9 years ago
Chap8 basic cluster_analysis
guru_prasadg
•
12 years ago
MusicMood - Machine Learning in Automatic Music Mood Prediction Based on Song Lyrics
Sebastian Raschka
•
9 years ago
Personal Information
Organization / Workplace
Lansing, Michigan Area United States
Occupation
PHD Candidate
Industry
Education
Website
http://www.msu.edu/
About
Passionate about data science, data mining, pattern recognition, and large scale data analysis
Solid understanding of statistical analysis methods, pattern recognition and machine learning
Proficient programming skills in R, python, MATLAB, C/C++, and developing robust numerical codes
Tags
deep learning
clustering
wacv 2019
computer vision
wacv
soft biometrics
semi-adversarial networks
san
face recognition
artificial neural networks
pattern recognition
algorithms
big data
truetime
vector clock
google
logical time
disk-based
k-means
databases
See more