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Rotational invariance
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1	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops Issues in rotational (non-)invariance and image preprocessing 1 Add to Reading List Source URL: www.cv-foundation.org - Date: 2014-01-13 20:23:36
2	Issues in rotational (non-)invariance and image preprocessing Lalit Jain1 , Michael J. Wilber1,2 , Terrance E. Boult1,2 1 VAST Lab, University of Colorado Colorado Springs 2 Securics Inc {ljain2 \| mwilber \| tboult} @vast Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2013-09-01 22:24:19 Biometrics Fingerprints Feature detection Surveillance Security Fingerprint recognition Image processing Access control Fingerprint Verification Competition Fingerprint Speeded up robust features Integrated Automated Fingerprint Identification System
3	Feature selection, L1 vs. L2 regularization, and rotational invariance Andrew Ng ICML 2004 Presented by Paul Hammon Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2007-03-06 18:56:02
4	Group Theory and Elementary Particles Introduction to Group Theory The theory of finite groups and continuous groups is a very useful tool for studying symmetry and invariance. In order to use group theory we need to int Add to Reading List Source URL: www.cmi.ac.in Language: English - Date: 2009-11-21 06:33:15 Lie groups Symmetry Group theory Rotational symmetry Quadratic forms Orthogonal group Dihedral group Matrix Representation theory Abstract algebra Algebra Mathematics
5	Week 3 (due Oct. 23) Reading: Srednicki, sections 4 and[removed]Compute the commutator function [φ(x), φ(0)] for the free real scalar field φ with zero mass (m = 0). Hint: by rotational invariance, you may assume that t Add to Reading List Source URL: www.theory.caltech.edu Language: English - Date: 2009-10-17 19:37:21 Golden ratio Momentum operator Physics Quantum field theory Μ operator
6	Feature selection, L1 vs. L2 regularization, and rotational invariance Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:54 Econometrics M-estimators Regression analysis Maximum likelihood Supervised learning Rotation matrix Regularization Linear regression Dimensional analysis Statistics Estimation theory Machine learning
7	LIE GROUPS IN PHYSICS1 version[removed] Add to Reading List Source URL: www.staff.science.uu.nl Language: English - Date: 2011-03-24 08:14:08 Conservation laws Quantum field theory Theoretical physics Gauge theory Isospin Operator Rotational invariance Wave function Parity Physics Quantum mechanics Symmetry

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