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
Contact Details
Tags
clustering
deep learning
databases
k-means
disk-based
logical time
google
vector clock
truetime
big data
algorithms
pattern recognition
artificial neural networks
face recognition
san
semi-adversarial networks
soft biometrics
wacv
computer vision
wacv 2019
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Presentations
(5)Likes
(3)Optimal interval clustering: Application to Bregman clustering and statistical mixture learning
Frank Nielsen
•
11 years ago
Chap8 basic cluster_analysis
guru_prasadg
•
13 years ago
MusicMood - Machine Learning in Automatic Music Mood Prediction Based on Song Lyrics
Sebastian Raschka
•
10 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
clustering
deep learning
databases
k-means
disk-based
logical time
google
vector clock
truetime
big data
algorithms
pattern recognition
artificial neural networks
face recognition
san
semi-adversarial networks
soft biometrics
wacv
computer vision
wacv 2019
See more