View source for MCLab Seminar

==[[MCLab Seminar/Video Multicast|Video Multicast over Wireless Networks]]==
* [[Media:video_multicasting.pdf|비디오멀티캐스팅 개요]]
* [[Media:LTE-Sim_Survey.pdf|LTE-Sim Survey]]
* [[Media:paper_simulator.pdf|paper simulator]]
* [[Media:ChannelMdoel.pdf|LTE Channel Model 적용방안]]

==[[MCLab Seminar/Machine Learning|Machine Learning]]==
"참고사이트"
# 머신러닝 레볼루션(머신러닝의 이해와 비즈니스 기회) [http://mlrv.org/1-2/]
# Microsoft Band SDK Documentation [https://developer.microsoftband.com/Content/docs/Microsoft%20Band%20SDK.pdf]
# Emotions_Research [http://exmovere.cn/pdf/Emotions_Research.pdf]
# MEASURING EMOTION: REACTIONS TO MEDIA [http://www.shimmersensing.com/assets/images/content/case-study-files/Emotional_Response_27July2015.pdf]
# The analysis of emotion recognition from GSR based on PSO [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5663259]
# IPFM 모델의 해석을 통한 심박변이도 해석 [http://www.dbpia.co.kr/Journal/PDFView?id=NODE06283367]
# 생체 데이터 사이트, http://www.physionet.org/
# Data Analysis with Pandas, https://pythonprogramming.net/

''박경수''

* [[Media:Bayesian Network.pdf|Bayesian Network(베이즈 망)]]
* [[Media:Support Vector Machine.pdf|Support Vector Machine(SVM)]]
* [[Media:Training and Testing.pdf|Training and Testing]]

''김왕수''

* [[Media:Machine_Learning_Semina_1.pptx|Machine Learning Introduction]]
* [[Media:Machine_Learning_Semina_2.pptx|기초 확률 이론 리뷰(for Machine Learning)]]
* [[Media:Machine_Learning_Semina_3.pptx|Linear Regression(선형 회귀)]]
* [[Media:Machine_Learning_Semina_4.pptx|Logistic Regression(로지스틱 회귀)]]
* [[Media:Machine_Learning_Seminar_5.pptx|Perceptron(퍼셉트론)]]

==Kinect v2==
# Abhijit Jana, Kinect for Windows SDK Programming,  Packt Publishing, 2012. [http://www.doc.flash-robotics.com/download/doc/Kinect%20for%20Windows%20SDK%20Programming%20Guide.pdf]
# Jarrett Webb and James Ashley, Beginning Kinect Programming with the Microsoft Kinect SDK, Apress,  2012. [https://books.google.co.kr/books?hl=ko&lr=&id=5Xaho68xOTsC&oi=fnd&pg=PR1&dq=Beginning+Kinect+programming+with+the+Microsoft+Kinect+SDK&ots=2pZUaGqQJa&sig=VHp3sNRw5ko01h2SKXIf70NEvwE&redir_esc=y#v=onepage&q=Beginning%20Kinect%20programming%20with%20the%20Microsoft%20Kinect%20SDK&f=false]
# Kinect v2 SDK 2.0 Reference: https://msdn.microsoft.com/en-us/library/dn782038.aspx
# Kinect Studio Reference: https://msdn.microsoft.com/en-us/library/microsoft.kinect.tools.aspx
# Face Tracking: https://msdn.microsoft.com/ko-kr/library/dn782034.aspx
# High Definition Face Tracking:https://msdn.microsoft.com/ko-kr/library/dn785525.aspx
#* Orientation and location
#* Animation Units - 17AUs (Most of the AUs are expressed between 0 and 1, but three of them vary between -1 and 1. Their names are Jaw Slide Right, Right Eyebrow Lowerer, and Left Eyebrow Lowerer.)
#* Shape Units - 70 SUs - (SUs are expressed between -2 and 2.)
#* Face Model - High Detail Face Points Enumeration (36)[https://msdn.microsoft.com/ko-kr/library/microsoft.kinect.face.highdetailfacepoints.aspx]
# KINECT & HOLOLENS, http://pterneas.com/
# Brekel Kinect Pro Face v2 - Visualize Dept, InfraRed, Color & Point Clound, http://brekel.com/pro-face-v2-released/
# Programming Kinect for Windows v2, MSDN 강좌. [https://channel9.msdn.com/Series/Programming-Kinect-for-Windows-v2]
# Tag Archives: Kinect for Windows SDK Tips [http://dailydotnettips.com/tag/kinect-for-windows-sdk-tips/]

==Tensorflow==
# Tensorflow site[https://www.tensorflow.org/]
#* Tensorflow Document[https://www.tensorflow.org/api_docs/]
#* Tensorflow Document(한글)[https://tensorflowkorea.gitbooks.io/tensorflow-kr/]
# Tensorflow whitepaper[http://download.tensorflow.org/paper/whitepaper2015.pdf]