Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
Signal Processing Software Engineer, Ph.D. - Soundl.ly
Secteur d’activité
Technology / Software / Internet
À propos
Signal Processing Software Engineer at Soundlly Inc. (since 2015 Dec.)
GIST Ph.D. (2015.Nov. Graduation)
Communications and Sensor Networks Laboratory (Prof. Kiseon Kim)
Student Chair in IEEE student branch (since 2014 Apr.)
Research Area:
Belief propagation based compressed sensing recovery algorithm
Approximate message-passing algorithm for penalized linear regression problems
Machine learning and statistical signal processing
Aerial acoustic communication systems
Audio signal denoising / filtering / regularization
Language:
Korean (Native)
Japanese (Fluent)
English (Technically moderate)
Selected papers:
Jaewook Kang, Heung-No Lee, Kiseon Kim, "Bayesian Hypothesis Test using Non...
Mots-clés
tensorflow
machine learning
matlab
텐서플로우
머신러닝
signal processing
simulink
digital communications
python
google jeju deep learning camp
2d single pose estimation
dont be turtle project
gdg devfest 2018
google cloud platform
tpu
cnn
mobile machine learning
convolutional neural networks
mobile
numpy
기초
basic
파이썬
approximate message passing
compressive sensing
bayesian rule
audio
ultrasound
soundlly
acoustic communication
linear classification
linear regression
neural networks
인생은 계단오르기
life is stair-like
digital communication
simullink
gist
광주과학기술원
message-passing
compressed sensing
belief propagation
Tout plus
Présentations
(20)J’aime
(20)Life is stair-like
Jaewook. Kang
•
il y a 6 ans
사람들과 자연스러운 대화를 나누는 일상대화 인공지능 만들기
NAVER Engineering
•
il y a 4 ans
Robust inference via generative classifiers for handling noisy labels
Kimin Lee
•
il y a 4 ans
Explaining and harnessing adversarial examples (2015)
정훈 서
•
il y a 7 ans
[컨퍼런스] 모두콘 2018 리뷰
Donghyeon Kim
•
il y a 5 ans
딥러닝 논문 리뷰 Learning phrase representations using rnn encoder decoder for statistical machine translation
keunbong kwak
•
il y a 6 ans
Chat bot making process using Python 3 & TensorFlow
Jeongkyu Shin
•
il y a 7 ans
Python과 Tensorflow를 활용한 AI Chatbot 개발 및 실무 적용
Susang Kim
•
il y a 6 ans
[TMS 2018] 자금확보 / Lablup 신정규 CEO, 님아 제발 그 강을 마오
NAVER D2 STARTUP FACTORY
•
il y a 5 ans
Designing more efficient convolution neural network
Dongyi Kim
•
il y a 5 ans
여러 컨볼루션 레이어 테크닉과 경량화 기법들
Dongyi Kim
•
il y a 5 ans
그렇게 커미터가 된다: Python을 통해 오픈소스 생태계 가르치기
Jeongkyu Shin
•
il y a 5 ans
나도 딥러닝 행사를 열어보고 싶다면?
Jimin Lee
•
il y a 5 ans
Machine Learning on Your Hand - Introduction to Tensorflow Lite Preview
Modulabs
•
il y a 6 ans
알파고 해부하기 1부
Donghun Lee
•
il y a 8 ans
텐서플로우 기초 이해하기
Yong Joon Moon
•
il y a 7 ans
[224]nsml 상상하는 모든 것이 이루어지는 클라우드 머신러닝 플랫폼
NAVER D2
•
il y a 6 ans
The bleeding edge of machine learning stream in 2017 - APAC ML/DS Community Summit
Jeongkyu Shin
•
il y a 6 ans
구글의 머신러닝 비전: TPU부터 모바일까지 (Google I/O Extended Seoul 2017)
Jeongkyu Shin
•
il y a 6 ans
연구자 및 교육자를 위한 계산 및 분석 플랫폼 설계 - PyCon KR 2015
Jeongkyu Shin
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
Signal Processing Software Engineer, Ph.D. - Soundl.ly
Secteur d’activité
Technology / Software / Internet
À propos
Signal Processing Software Engineer at Soundlly Inc. (since 2015 Dec.)
GIST Ph.D. (2015.Nov. Graduation)
Communications and Sensor Networks Laboratory (Prof. Kiseon Kim)
Student Chair in IEEE student branch (since 2014 Apr.)
Research Area:
Belief propagation based compressed sensing recovery algorithm
Approximate message-passing algorithm for penalized linear regression problems
Machine learning and statistical signal processing
Aerial acoustic communication systems
Audio signal denoising / filtering / regularization
Language:
Korean (Native)
Japanese (Fluent)
English (Technically moderate)
Selected papers:
Jaewook Kang, Heung-No Lee, Kiseon Kim, "Bayesian Hypothesis Test using Non...
Mots-clés
tensorflow
machine learning
matlab
텐서플로우
머신러닝
signal processing
simulink
digital communications
python
google jeju deep learning camp
2d single pose estimation
dont be turtle project
gdg devfest 2018
google cloud platform
tpu
cnn
mobile machine learning
convolutional neural networks
mobile
numpy
기초
basic
파이썬
approximate message passing
compressive sensing
bayesian rule
audio
ultrasound
soundlly
acoustic communication
linear classification
linear regression
neural networks
인생은 계단오르기
life is stair-like
digital communication
simullink
gist
광주과학기술원
message-passing
compressed sensing
belief propagation
Tout plus