'Haar wavelets' presentation slideshows

Wavelets (Chapter 7)

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Wavelets Examples

Wavelets Examples. ???. Contents. Introduction Haar Wavelets General Order B-Spline Wavelets Linear B-Spline Wavelets Quadratic B-Spline Wavelets Cubic B-Spline Wavelets Daubechies Wavelets. I. Introduction. Wavelets are basis functions in continuous time.

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Digital Signal Processing

Digital Signal Processing. Instructor: L. J. Wang, Dept. of Information Technology, National Pingtung Institue of Commerce Reference: Gilbert Strang and Truong Nguyen, Wavelets and Filter Banks, Wellesley-Cambridge Press, 1996.

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Object Category Detection: Sliding Windows

03/18/10. Object Category Detection: Sliding Windows. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Goal: Detect all instances of objects. Influential Works in Detection. Sung-Poggio (1994, 1998) : ~1450 citations

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Approximate Query Processing using Wavelets

Approximate Query Processing using Wavelets. Kaushik Chakrabarti(Univ Of Illinois) Minos Garofalakis(Bell Labs) Rajeev Rastogi(Bell Labs) Kyuseok Shim(KAIST and AITrc) Presented at 26 th VLDB Conference, Cairo, Egypt Presented By Supriya Sudheendra. Outline. Introduction.

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Haar Wavelets

Haar Wavelets. A first look Ref: Walker (ch1) Jyun-Ming Chen, Spring 2001. Introduction. Simplest; hand calculation suffice A prototype for studying more sophisticated wavelets Related to Haar transform, a mathematical operation.

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The Viola/Jones Face Detector (2001)

The Viola/Jones Face Detector (2001). (Most slides from Paul Viola). A widely used method for real-time object detection. Training is slow, but detection is very fast. Classifier is Learned from Labeled Data. Training Data 5000 faces All frontal 300 million non faces

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The Viola/Jones Face Detector

424 views • 17 slides