'Map inference' diaporamas de présentation

Topic models

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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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Lecture 08: Visualization Intro

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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.

500 views • 30 slides

Optimization With Parity Constraints: From Binary Codes to Discrete Integration

Optimization With Parity Constraints: From Binary Codes to Discrete Integration. Stefano Ermon* , Carla P. Gomes*, Ashish Sabharwal + , and Bart Selman* *Cornell University + IBM Watson Research Center UAI - 2013. High-dimensional integration.

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Using linking features in learning Non-parametric part models

Ammar Kamal Hattab ENGN2560 Final Project Proposal March 11, 2013. Using linking features in learning Non-parametric part models. Project Goal. Nk. Torso. Project Goal: implement Linking Features Algorithm to detect a set of parts of a deformable object. Examples:

213 views • 10 slides