1 Caracas, September 28 2006 Universität Stuttgart Lehrstuhl für Hydrologie und Geohydrologie The use of copulas for the description of the spatial variability.
Uniform and non uniform single image deblurring based on sparse representation and adaptive dictionary learning
Fst ch3 notes
Signal Processing Course : Denoising
Intro to Deep Learning
The SIFT (Scale Invariant Feature Transform) Detector and Descriptor developed by David Lowe University of British Columbia Initial paper ICCV 1999 Newer.
Computer Vision Group Digital Image Filters 26 th November 2012.
Bag of Features Approach: recent work, using geometric information.
AFOSR PROGRAM REVIEW: INNOVATIVE SIGNAL PROCESSING FOR MILITARY DIGITAL COMMUNICATION DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF VERMONT JUNE.
Moments area of the object center of mass describe the image content (or distribution) with respect to its axes.
Road Sign Recognition System Based on GentleBoost with Sharing Features Jin-Yi Wu, Chien-Chung Tseng,Chun-Hao Chang, Jenn-Jier James Lien*, Ju Chin Chen,
Reflections and illustrations on DIF Paul De Boeck K.U.Leuven 25th IRT workshop Twente, October 2009.
