资源列表
bayes_multiclass
- z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification rule for M classes, each modeled by a Gaussian distribution. where, M: the number of classes. • l: the number of features (for each feature vector). •
eucledian_classifier
- z=euclidean_classifier(m,X). This function outputs the Euclidean classifier, given the mean matrix. M: the number of classes. • l: the number of features (for each feature vector). • N: the number of data vectors. • m: lxM ma
mahalnobis
- z=mahalanobis_classifier(m,S,X).This function outputs the Mahalanobis classifier, given the mean and covariance matrices. • M: the number of classes. • l: the number of features (for each feature vector). • N: the number of
PCA_Eigen
- Python implementation of PCA by utilizing Eigen value decomposition technique.
The-height-of-Mount-Everest
- 小游戏看一张纸对着几次达到珠穆朗玛峰高度-The height of Mount Everest
KalmanAll
- 有关kalman滤波及其一些变形滤波算法-Some code about Kalman Filters
gif.xcodeproj
- iOSapp动画登陆 iOSapp动画登陆 -very good softvery good softvery good softvery good soft
example5
- this matlab code in Computational_Complexity.m-this is matlab code in Computational_Complexity.m
soda_machine_mealyamoore
- soda_machine的一个有限状态机，用verilog描述，分别有moore和mealy,还提供了testbench.-soda_machine of a finite state machine, with verilog descr iption, respectively, moore and mealy, also provides a testbench.
algo
- this file is very cool. open this file and enjoy
DeteksiTepi_MetodeCany
- deteksi tepi pada sebuah citra menggunakan metode canny
OtsuThreshold
- deteksi tepi pada citra menggunakan metode threshold