<--- Back to Details
First PageDocument Content
Kernel regression / Mean-shift / Kernel / Normal distribution / Multivariate kernel density estimation / Kernel principal component analysis / Statistics / Non-parametric statistics / Kernel density estimation
Date: 2004-04-14 18:22:30
Kernel regression
Mean-shift
Kernel
Normal distribution
Multivariate kernel density estimation
Kernel principal component analysis
Statistics
Non-parametric statistics
Kernel density estimation

Add to Reading List

Source URL: courses.csail.mit.edu

Download Document from Source Website

File Size: 3,18 MB

Share Document on Facebook

Similar Documents

Image segmentation / Computer vision / Memory segmentation / Mean shift / Noise reduction / Rigid motion segmentation / Region growing

Interactive System for Efficient Video Cartooning Sung-Soo Hong◦ , Jong-Chul Yoon† , In-Kwon Lee‡ , and Siwoo Byun∗ ◦,†,‡ Dept. of Computer Science, Yonsei University, Korea

DocID: 1pGgG - View Document

Computer vision / Estimation theory / Image segmentation / Image processing / Mixture model / Mean shift / Expectationmaximization algorithm / Mode / Generalised Hough transform / Video Sequences Saliency Map

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

DocID: 1pDwX - View Document

Image processing / Computer vision / Conservation and restoration / Inpainting / Image segmentation / CAPTCHA / Levenshtein distance / Edit distance / Mean shift

PDF Document

DocID: 1poUu - View Document

Computer vision / Estimation theory / Image segmentation / Image processing / Mixture model / Mean shift / Expectationmaximization algorithm / Mode / Generalised Hough transform / Video Sequences Saliency Map

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

DocID: 1pn1r - View Document

Computing / Parallel computing / Computer programming / Statistics / K-means clustering / K-nearest neighbors algorithm / Computer cluster / Mean shift / CURE data clustering algorithm

Microsoft PowerPoint - cs677s15_5.pptx

DocID: 1oeK8 - View Document