PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
The goal of our final project was to design an efficient elevator simulator that can accept input from a user and mechanically operate (on a small scale) a system of 4 floors and 3 elevators using pulleys and stepper motors. Users enter input using physical pushbuttons or the computer. This input is then processed by the MCU and orders are given to the elevators. We attempted to devise an algorithm that can optimally handle any number of floors. This project seemed like a fun challenge and something that had practical applications. Both of us have been frustrated at times by the inefficiency of some of the elevators here at Cornell, and we wanted to see if we could do a better job.
多目標遺傳算法程序
to run Demo files, is to run SGALAB_demo_*.m
what s new:
1) Multiple-Objective GAs
VEGA
NSGA
NPGA
MOGA
2) More TSP mutation and Crossover methods
PMX
OX
CX
EAX
Boolmatrix
3) More selection methods
Truncation
tornament
stochastic
4) mutation methods
binary single point
int/real single point
5) encoding/decoding methods
binary
integer/real
messy
gray
DNA
permuation
to fix the plot bugs for 4001 , download this file and replace old files.
This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m -- forward curvelet transform
afdct_usfft.m -- adjoint curvelet transform
ifdct_usfft.m -- inverse curvelet transform
fdct_usfft_param.m -- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m -- display the shape of a curvelet
fdct_usfft_demo_recon.m -- partial reconstruction using curvelet
fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m -- image denoising using curvelet
This a simple database management system. It doesn t use any other code (i.e. ODBC, ADO, etc.) and has it s own database file format. I wrote it because I found the other DBMSs code too bulky and hard to debug. It s designed for small applications and I doubt it could handle anything on a large scale. A sample program included in the .zip shows how everything works. The database project is a library project, so you ll have to compile and link with the .lib file to get everything working. Pros: - You have the source code so you know exactly what it is doing - Database files are very small - Small and fast code Cons: - Can t handle large amounts of records (more than 65000ish) - Doesn t support SQL (you have to search the database by cycling through the records and testing them against your constraints) - Each database file can only have one table.
the code environment s C++. it is in image processing field. this code Read TIFF Image then it excute a Median Filter Classical on gray images. after that it Write TIFFU nsigned Char.
state of art language modeling methods:
An Empirical Study of Smoothing Techniques for Language Modeling.pdf
BLEU, a Method for Automatic Evaluation of Machine Translation.pdf
Class-based n-gram models of natural language.pdf
Distributed Language Modeling for N-best List Re-ranking.pdf
Distributed Word Clustering for Large Scale Class-Based Language Modeling in.pdf
