<--- Back to Details
First PageDocument Content
Learning / Pattern recognition / Unsupervised learning / Supervised learning / Generative model / Hidden Markov model / K-means clustering / Mixture model / Statistical classification / Machine learning / Statistics / Computational statistics
Date: 2011-10-29 17:56:50
Learning
Pattern recognition
Unsupervised learning
Supervised learning
Generative model
Hidden Markov model
K-means clustering
Mixture model
Statistical classification
Machine learning
Statistics
Computational statistics

LNCS[removed]Group-Induced Vector Spaces

Add to Reading List

Source URL: profs.sci.univr.it

Download Document from Source Website

File Size: 401,97 KB

Share Document on Facebook

Similar Documents

Analysis of Heart Rate Variability during Meditation by a Pattern Recognition Method Sukanya Phongsuphap* and Yongyuth Pongsupap Ratchathewi, Bangkok, Thailand The main objective of this study is to investigate patterns

DocID: 1vsho - View Document

Computer Vision Winter Workshop 2008, Janez Perˇs (ed.) Moravske Toplice, Slovenia, February 4–6 Slovenian Pattern Recognition Society, Ljubljana, Slovenia A Lower Bound by One-against-all Decomposition for Potts Mode

DocID: 1vs97 - View Document

21st International Conference on Pattern Recognition (ICPRNovember 11-15, 2012. Tsukuba, Japan Position Estimation of Near Point Light Sources using a Clear Hollow Sphere Takahito Aoto† , Takafumi Taketomi† ,

DocID: 1vlr4 - View Document

HYPERCUBE ALGORITHMS FOR IMAGE PROCESSING AND PATTERN RECOGNITION

DocID: 1vl8h - View Document

BMVA British Machine Vision Association and Society for Pattern Recognition Pattern Recognition and Machine Learning in Machine Vision One Day BMVA symposium at the Royal Statistical Society, 12 Errol Street, London, UK

DocID: 1vfN6 - View Document