#web
#blog
- LOLEX
- Winning Solutions of Chelsea FC player recruitment
- Artificial Neural Network
- Activation Function
- 고속푸리에변환(FFT)
- DFT와 FFT 비교
- CT Sinogram Transform Using FFT
- INURoGue
- Softmax Function & Applicatioin
- Paper review, Minimum Covariance Determinant
- Cell Detection Using MCD
- Protein homology modeling using UCSF Chimera
- Comparing Denoising Methods on Time-lapse Image Sequences
- Support Vector Machine
- RBF Kernel
- Discriminating drgs and non-drugs using SVM
- A Survey of Deep Learning for Anomaly Detection
- One-Class Support Vector Machine
- Auto-Encoder
- Adam Optimizer
- Types of Clustering
- Naïve Bayes Classification
- Statistical Methods
- Support Vector Data Description
- Deep SVDD
- resilient Multiple Choice Learning
- Ensemble Learning
- Ensemble Learning, Bagging
- Ensemble Learning, Random Forests
#data science
#CSE
- Artificial Neural Network
- Activation Function
- 고속푸리에변환(FFT)
- DFT와 FFT 비교
- CT Sinogram Transform Using FFT
- INURoGue
- Softmax Function & Applicatioin
- Paper review, Minimum Covariance Determinant
- Cell Detection Using MCD
- Support Vector Machine
- RBF Kernel
- Support Vector Data Description
#Machine Learning
- Artificial Neural Network
- Activation Function
- Support Vector Machine
- RBF Kernel
- Discriminating drgs and non-drugs using SVM
- A Survey of Deep Learning for Anomaly Detection
- One-Class Support Vector Machine
- Auto-Encoder
- Adam Optimizer
- Types of Clustering
- Naïve Bayes Classification
- Statistical Methods
- Support Vector Data Description
- Deep SVDD
- resilient Multiple Choice Learning
- Ensemble Learning
- Ensemble Learning, Bagging
- Ensemble Learning, Random Forests
#Activation Function
#Signal Processing
#Medical Imaging
#Game Programming
#Softmax Funciton
#Pygame
#Statistics
#Data Science
- Paper review, Minimum Covariance Determinant
- Support Vector Machine
- RBF Kernel
- Discriminating drgs and non-drugs using SVM
- A Survey of Deep Learning for Anomaly Detection
- One-Class Support Vector Machine
- Auto-Encoder
- Adam Optimizer
- Types of Clustering
- Naïve Bayes Classification
- Statistical Methods
- Support Vector Data Description
- Deep SVDD
#Linear Algebra
#Computer Vision
- Cell Detection Using MCD
- Protein homology modeling using UCSF Chimera
- Comparing Denoising Methods on Time-lapse Image Sequences
#Bio Photonics
#Protein Modeling
#UCSF Chimera
#UniProt
#Ai Based Drug Design
#Bio Imaging
#BM3D
#Median filter
#Non-local Means
#SVM
#Classification
- Support Vector Machine
- RBF Kernel
- Discriminating drgs and non-drugs using SVM
- Naïve Bayes Classification
- Support Vector Data Description
#CADD
#Deep Learning
#Anomaly Detection
- A Survey of Deep Learning for Anomaly Detection
- One-Class Support Vector Machine
- Auto-Encoder
- Adam Optimizer
- Deep SVDD
#OCSVM
#Novelty Detection
#Autoencoder
#Adam
#Optimizer
#Clustering
#Data Analysis
#SVDD
#rMCL
#WTA
#Distribution estimation
#Probability Theory
#Ensemble
#Bagging
#Random Forests