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Segmentation of Floor in Corridor Images for Mobile Robot Navigation

Segmentation of Floor in Corridor Images for Mobile Robot Navigation

Segmentation of Floor in Corridor Images for Mobile Robot Navigation. Yinxiao Li Clemson University Committee Members: Dr. Stanley Birchfield (Chair) Dr. Adam Hoover Dr. John Gowdy. Motivation. Goal: Segment the floor in a single corridor image. Why? obstacle avoidance mapping

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511 views • 50 slides
Image-Based Segmentation of Indoor Corridor Floors for a Mobile Robot

Image-Based Segmentation of Indoor Corridor Floors for a Mobile Robot

Image-Based Segmentation of Indoor Corridor Floors for a Mobile Robot. Yinxiao Li and Stanley T. Birchfield Department of Electrical and Computer Engineering Clemson University { yinxial, stb }@clemson.edu. Motivation. Goal: Segment the floor in a single corridor image. Why?

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496 views • 49 slides
Revisiting Credit Scoring Models in a Basel 2 Environment Edward I. Altman

Revisiting Credit Scoring Models in a Basel 2 Environment Edward I. Altman

Revisiting Credit Scoring Models in a Basel 2 Environment Edward I. Altman. ??? ??? ???. Introduction.

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677 views • 47 slides
Image-Based Segmentation of Indoor Corridor Floors for a Mobile Robot

Image-Based Segmentation of Indoor Corridor Floors for a Mobile Robot

Image-Based Segmentation of Indoor Corridor Floors for a Mobile Robot. Yinxiao Li and Stanley T. Birchfield The Holcombe Department of Electrical and Computer Engineering Clemson University { yinxial, stb }@ clemson.edu. Typical Corridor Images. Low contrast. Common Reflections.

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532 views • 44 slides
KDD Cup 2000 Question 1

KDD Cup 2000 Question 1

KDD Cup 2000 Question 1. Overview. Objective Given a set of page views, predict whether the visitor will view another page or not Data Raw Data - Clicks Aggregated Data - Sessions Some sessions clipped in the middle Indicator: Session continues Methods and Tools

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437 views • 13 slides
KDD Cup 2000 Question 1

KDD Cup 2000 Question 1

KDD Cup 2000 Question 1. Overview. Objective Given a set of page views, predict whether the visitor will view another page or not Data Raw Data - Clicks Aggregated Data - Sessions Some sessions clipped in the middle Indicator: Session continues Methods and Tools

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217 views • 13 slides

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