'Approximate algorithms' presentation slideshows

Approximate algorithms - PowerPoint PPT Presentation

Structured learning

Structured learning

Structured learning . Sunita Sarawagi IIT Bombay http://www.cse.iitb.ac.in/~sunita. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A A A A A A. Structured models. Standard classification Structured prediction. M odel. x. Class label.

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587 views • 47 slides
Mean-Field Theory and Its Applications In Computer Vision1

Mean-Field Theory and Its Applications In Computer Vision1

Mean-Field Theory and Its Applications In Computer Vision1. Introduction. Problem formulation. Mean-field based inference method. Strategy for incorporating different costs. Labelling problem. Assign a label to each image pixel. Object detection. Object segmentation. Stereo.

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502 views • 30 slides
A Linear Programming Formulation of Flows over Time with Piecewise Constant Capacity and Transit Times

A Linear Programming Formulation of Flows over Time with Piecewise Constant Capacity and Transit Times

A Linear Programming Formulation of Flows over Time with Piecewise Constant Capacity and Transit Times. by Juan Alonso and Kevin Fall. Introduction . Algorithm to optimally solve a Delay-Tolerant Network (DTN) routing problem Assumes contacts are known in advance Two steps

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394 views • 29 slides
A Random Parallel Approximation Algorithm for the 0-1 Knapsack Problem

A Random Parallel Approximation Algorithm for the 0-1 Knapsack Problem

A Random Parallel Approximation Algorithm for the 0-1 Knapsack Problem. Michael Adams. Problem Description. Items with weights and values Knapsack with weight capacity Highest value selection under capacity NP-hard Combinatorial optimization. Quality-Up. Low value answer ? in low Q%

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373 views • 26 slides
3D Shortest Paths

3D Shortest Paths

3D Shortest Paths. Lying on Polyhdral Surfaces. Reported by Shiqing Xin 2006-04-26. Problem Description. Source and destination Lying on the surface Classification One source, one destination One source, any destination Any source, any destination One source, many destinations.

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201 views • 10 slides

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