'Clustering based' presentation slideshows

Algorithms & Applications in Computer Vision

940 views • 75 slides

Algorithms & Applications in Computer Vision

896 views • 75 slides

Image segmentation

762 views • 55 slides

Image segmentation

708 views • 54 slides

Lecture: k-means & mean-shift clustering

Lecture: k-means & mean-shift clustering. Juan Carlos Niebles and Ranjay Krishna Stanford Vision and Learning Lab. Recap: Image Segmentation. Goal: identify groups of pixels that go together. Recap: Gestalt Theory.

619 views • 53 slides

Lecture 30: Segmentation

CS4670 / 5670: Computer Vision. Noah Snavely. Lecture 30: Segmentation. From Sandlot Science. Announcements. Project 4 due Friday. Consumer face application: Apple iPhoto. http://www.apple.com/ilife/iphoto/. Consumer application: Apple iPhoto. Can be trained to recognize pets!.

485 views • 34 slides

Segmentation

CS4670 / 5670: Computer Vision. Noah Snavely. Segmentation. From Sandlot Science. Consumer face application: Apple iPhoto (Picasa, Facebook, etc.). http://www.apple.com/ilife/iphoto/. Consumer application: Apple iPhoto. Can be trained to recognize pets!.

393 views • 32 slides

Botnet and Spam Detection in High-Speed Networks

Botnet and Spam Detection in High-Speed Networks. Wenke Lee and Nick Feamster Georgia Tech. Overview. Problem: Botnet and Spam Detection in high-speed networks Common theme: Examine network-level properties and build classifier Two systems: BotMiner and SNARE Overview

465 views • 29 slides

Clustering Web Content for Efficient Replication

Clustering Web Content for Efficient Replication. Yan Chen, Lili Qiu*, Weiyu Chen, Luan Nguyen, Randy H. Katz EECS Department UC Berkeley *Microsoft Research. Motivation. Amazing growth in WWW traffic Daily growth of roughly 7M Web pages Annual growth of 200% predicted for next 4 years

385 views • 28 slides

Tag Cube: Acquiring Latent Conceptual Structures from Folksonomy Data

Tag Cube: Acquiring Latent Conceptual Structures from Folksonomy Data. Junjie Yao, Yuxin Huang 2010-05-13. Taxonomy & Folksonomy. Delicious Snapshot.

239 views • 23 slides

Clustering Applications in Web Mining and Web Personalization

Clustering Applications in Web Mining and Web Personalization. Bamshad Mobasher DePaul University. Clustering Application: Web Usage Mining. Discovering Aggregate Usage Profiles

323 views • 17 slides

Nikolai Gagunashvili (University of Akureyri, Iceland) nikolai@unak.is

Data mining methods in RAVEN network. Nikolai Gagunashvili (University of Akureyri, Iceland) nikolai@unak.is. Data collected and stored at enormous speeds Traditional techniques infeasible for raw data Methods of data mining with visualization techniques may help scientists

184 views • 17 slides

On the Stability of Network Distance Monitoring

On the Stability of Network Distance Monitoring. Yan Chen, Chris Karlof, Yaping Li and Randy Katz {yanchen, ckarlof, yaping, randy}@CS.Berkeley.EDU EECS Department UC Berkeley. Introduction. Lots of applications/services may benefit from end-to-end distance monitoring/estimation

265 views • 15 slides

SnapWorks

SnapWorks. Group 11 Krimy Amichandwala Nihar Gadkari Samantha Misra Urja Shah. SnapWorks. SnapWorks is a photo storing website which provides ways to automate the process of arranging photos based on location and time. Motivation & Features Method Algorithm Take a peek.

182 views • 11 slides

AIM: Clustering the Data together

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Clustering based on principle curve

165 views • 8 slides

COURSE SPOTLIGHT: ENEE 739R: Medical Imaging & Image Analysis

COURSE SPOTLIGHT: ENEE 739R: Medical Imaging & Image Analysis. Prerequisite: ENEE 631 (Digital Image Processing) or equivalent

106 views • 1 slides