Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| 16 | 17 | 18 | 19 | 20 | 21 | 22 |
| 23 | 24 | 25 | 26 | 27 | 28 |
Tags
- MySQL
- 머신러닝
- object detection
- Reinforcement Learning
- DP
- Mask Processing
- opencv
- C++
- canny edge detection
- MinHeap
- CNN
- 그래프 이론
- 강화학습
- two-stage detector
- 딥러닝
- image processing
- AlexNet
- BFS
- machine learning
- LSTM
- dfs
- YoLO
- dynamic programming
- 백준
- Python
- deep learning
- eecs 498
- real-time object detection
- r-cnn
- One-Stage Detector
Archives
- Today
- Total
JINWOOJUNG
Tags
- 10026
- 11049
- 11053
- 11399
- 11403
- 11404
- 1149
- 11724
- 11725
- 1463
- 1715
- 17626
- 1920
- 1991
- 1로 만들기
- 2023 데이터 크리에이터 캠프
- 24173
- 24174
- 24444
- 2468
- 2579
- 2606
- 2668
- 28217
- 2839
- 3d object classification
- 3D object detection
- 4963
- 7576
- 9095
- 9251
- 9372
- a matrix
- ablation studies
- ablation study
- activation function
- adam
- AlexNet
- Algorithm
- alignment score
- ALTER
- anchor box
- Artificial Neural Network
- assignment
- ATM
- Attention
- attention layer
- Attention Weight
- attraction basin
- attribute
- Backbone
- backpropagation
- BackWard
- Baekjoon
- Band Pass Filter
- batch
- batch gradient descent
- batch normalization
- Bellman equation
- Bellman Optimality Equation
- BFS
- BGR
- Bilateral Filtering
- Binomial Interpolation
- BLOB
- boolean tensor indexing
- bottom-up
- bow
- Box Filter
- BPTT
- Broadcasting
- C++
- Camera Calibration
- camera response function
- canny edge detection
- Capacity
- cardinality ratio relationship
- Categories
- cell state
- Chain rule
- cie diagram
- ciexyz
- CIFAR-10
- classification
- clustering
- cmy
- CMYK
- CNN
- color gamut
- ColumnTransformer
- computational photography
- compute distance
- Confidence
- confusion matrix
- contiguous tensors
- continuous set function
- ConvNet
- convolution
- convolutional middle layers
- Corner
- corner detection
- Cost
- CPP
- CRF
- cross-entrophy loss
- cross-validation
- custom dataset
- cv::kmeans()
- cv::Mat
- cv::Mat::data
- data 전처리
- Database
- datatypes
- db
- DBMS
- deep learning
- Deep Q-Learning
- deep Q-network
- Deep reinforcement Learning
- default box
- defocus blur
- Delete
- demosaicing
- dense detector
- dense evaluation
- dense prediction
- depth
- Derivation
- derived attribute
- dfs
- dga
- Diagonal Edge Detection
- Dijkstra
- Directed Acyclic Graph
- disjoint
- dog
- Domain-Specific
- Double Q-Learning
- downsampling
- DP
- DPM
- DQN
- dropout
- dropout reduce underfitting
- dropout reduces underfitting
- Dyna-Q Algorithm
- dynamic image
- dynamic programming
- early dropout
- edge
- edge detection
- eecs 498
- eer diagram
- eigenvalue
- elementwise operations
- Entity
- Equi Join
- ER Diagram
- exists
- extended er diagram
- f1 score
- fast r-cnn
- faster r-cnn
- Feature
- Feature Detection
- feature discriptor
- feature matching
- feature scaling
- feature sharing
- feature vector
- Filter
- Filter Bank
- fine-tuning
- flat
- Floyd
- Focal Lenth
- Focal loss
- FOREIGN KEY
- forward
- Forward Warping
- Four Squares
- Fourier Transform
- FoV
- frequency domain
- Gaussian
- gaussian filter
- Gaussian Filtering
- Gaussian Pyramid
- gdsc
- GDSCInha
- GIT
- glimpses
- GoogleDeveloperStudentClubs
- googlenet
- GPU
- grabcut
- gradient descent
- Gradient Direction
- gradient direction error
- gradient direction variance
- Gradient Magnitude
- Gradient Vanishing Problem
- graph cut
- grid cell
- gridsearch
- GROUP BY
- GROUPING
- GUI
- Harris Corner
- harris detector
- Having
- head
- heapq
- heapsort
- heavy tails
- hierarchical sampling
- high pass filter
- histogram equalization
- Hoeffding's Inequality
- hog
- Hole
- HSI
- HSV
- identifying relationship
- ie 표기법
- ill-posed problems
- ILSVRC
- Image Histogram
- image processing
- ImageNet
- IN
- in-place
- insert
- Instance segmentation
- integer tensor indexing
- Internal Covariate Shift
- inverse problems
- Inverse Warping
- IOU
- Iterative
- JOIN
- K-armed Bandit
- k-means clustering
- k-nearest neighbor
- k-겹 교차 검증
- kde
- Kernel
- kneighborclassifier
- KNN
- knn classifier
- L2
- laplacian
- laplacian of gaussian
- Laplacian Pyramid
- late dropout
- lazy snapping
- LCS
- leakyrelu
- learning rate
- learning rate decays
- left join
- level sets
- LIDAR
- linear classifier
- linear layer
- linear regression
- llinux
- LLOYD
- LOAD DATA
- local feature
- local minimum
- Localization
- log
- Longest Common Subsequence
- low pass filter
- LSTM
- machin learning
- machine learning
- Machine Translation
- Maching Learning
- mae
- magnitude
- many to many
- map
- Markov
- markov random fields
- mask
- Mask Convolution
- Mask Processing
- masked self-attention layer
- Mat::at()
- Mat::ptr()
- MatIterator
- Matrix Operations
- max pooling
- maxheap
- MC
- MDP
- Mean Shift
- mean shift clustering
- Median Filtering
- mediapipe
- Medina Filter
- meta data
- Michigan
- MinHeap
- mini-batch
- MinMaxScaler
- MLP
- mnist
- model train
- Model-Based RL
- Model-Free
- Model-Free RL
- modular
- modulation
- Monte Carlo
- motion blur
- MRF
- MRP
- mse
- multi layer perceptron
- multi-crop evaluation
- multi-scale feature map
- multiclass classifier
- multihead self-attention layer
- multiple-loss
- multitask loss
- MySQL
- mysql workbanch
- n-Step Bootstrapping
- n-Step SARSA
- n-Step TD
- NATURAL JOIN
- natural left join
- natural right join
- navie svm loss
- Network
- NMS
- Non-parametric
- NULL
- null value
- object detection
- Off-Policy
- On-Policy
- One-Hot Encoding
- One-Stage Detector
- OneHotEncoder
- opencv
- OpenGL
- Optimal Policy
- ordinalencoder
- orientation
- out of plane rotation
- out-of-place
- OUTLIER
- overfitting
- overlapping
- overlapping pooling
- package
- PADDING
- PANDAS
- parametric
- participation constraint
- pascal voc dataset
- PCD
- perceptron
- Phase
- pillar
- Pixel Processing
- point spread function
- PointNet
- pointpillars
- Pooling
- Precision
- predict lable
- PRIMARY KEY
- PSF
- PyQt
- Python
- python3.8
- python3.9
- pytorch
- Q-Learning
- R
- r-cnn
- radiance map
- random sampling
- randomforest
- randomizedsearchcv
- Range Weight
- real time object detection
- real-time object detection
- Recall
- recognition
- recurrence formula
- recurrent neural network
- reduction operations
- region proposals
- Regression
- Regularization
- regularization strength
- Reinforcement Learning
- reinhard
- relationship
- ReLU
- relu activation
- reshaping operations
- resize
- response function
- responsible
- RetinaNet
- RGB
- RGB거리
- RIGHT JOIN
- RL
- RMSE
- RNN
- rnns and attention
- Roboflow
- ROC
- ROC 곡선
- ROS
- ROS2
- RPN
- SARSA
- scaling
- segmentation
- select
- Selective Search
- self-attention layer
- Semantic Segmentation
- Seq2Seq
- SGD
- SIFT
- Sigma
- sigmoid
- single stage
- single-stage detector
- Skip Connection
- sklearn
- slice indexing
- sliding window
- snakes
- Sobel Filter
- Sobel Filtering
- Softmax
- softmax classifier
- SolutionChallenge
- Space Weight
- spatial domain
- SPPNet
- SQL
- squared euclidean distance
- SSD
- StandardScaler
- stride
- SubClass
- sublime merge
- sublime text
- subsample the dataset
- subsampling
- superclass
- supervised learning
- supervised pre-training
- svd
- SVM
- svm classifier
- svm loss
- swapping axes
- system response function
- table
- Table LookUp Model
- TD
- tensor basic
- tensor constructors
- Texture
- Thining
- threshold
- Thresholding
- Time Difference Method
- tone mapping
- Topological Sorting
- train network
- train perceptron
- Transformer
- two layer network
- two-layer network
- two-stage detector
- ubuntu
- ubuntu 20.04
- UCB
- underfitting
- Union
- universal approximation ability
- unsupervise learning
- Unsupervised learning
- Update
- Upper Confidence Bounds
- Value Function Approximation
- value iteration
- Vanishing gradient
- vectorize svm loss
- vfe
- VGG
- vgg-16
- vgg16
- Visual Studio
- vj detector
- voxel
- voxel feature encoding
- voxelnet
- Weak Entity
- weight matrix
- where
- window
- xterm
- XYZ
- YIQ
- YoLO
- yolo11
- YOLOv8
- 가장 긴 증가하는 부분 수열
- 강화학습
- 객체 검출
- 결정 함수
- 경로
- 경사하강법
- 계단 오르기
- 계층적 샘플링
- 교차검증
- 구글
- 그래프 이론
- 그래프이론
- 기계학습
- 내부 질의
- 너비 우선 탐색
- 다이나믹 프로그래밍
- 다이나믹프로그래밍
- 다익스트라 알고리즘
- 다중 레이블 분류
- 다중 분류
- 다중 출력-다중 레이블 분류
- 다항 로지스틱 회귀
- 데이터 전처리
- 두 정삼각형
- 딥러닝
- 머신러닝
- 명시적 집합
- 모델 학습
- 바이러스
- 반복문
- 백준
- 백준 12865
- 범주형
- 범주형 특성
- 벨만방정식
- 분류 모델
- 비네팅효과
- 비용 함수
- 상근이의 여행
- 색수차
- 샘플링 편향
- 선형 회귀
- 설탕 배달
- 섬의 개수
- 솔루션챌린지
- 수 찾기
- 수화 인식 모델
- 숫자형 특성
- 시간초과
- 시계열
- 신뢰구간
- 심도
- 안전 영역
- 알고리즘
- 알고리즘 수업 - 너비 우선 탐색 1
- 알고리즘 수업 - 힙 정렬 1
- 알고리즘 수업 - 힙 정렬 2
- 어렵다..
- 연결 요소
- 연쇄행렬곱셈
- 영상 군집화
- 영상 처리
- 영상처리
- 외부 질의
- 욜로
- 위상정렬
- 이미지 프로세싱
- 이중 for문
- 인공지능
- 일반화 오차
- 자료구조
- 적록색약
- 전위 순회
- 전이학습
- 정렬
- 정밀도
- 정밀도/재현율 트레이드오프
- 조약돌 놓기
- 좋다
- 중위 순회
- 참조 무결성
- 최적화 문제
- 커스텀데이터셋
- 코테
- 토마토
- 트리
- 트리 순회
- 트리의 부모 찾기
- 평범한 배낭
- 평활화
- 플로이드
- 피보나치 수열
- 픽셀 접근
- 하이퍼파라미터
- 학습데이터구축
- 한국지능정보사회진흥원 원장상
- 행렬곱셈순서
- 홀드아웃 검증
- 후위 순회
- 희소 행렬
- 힙정렬