Product Descr iption Our first knowledge of differential geometry usually comes from the study of the curves and surfaces in $I\!\!R^3$ that arise in calculus. Here we learn about line and surface integrals, divergence and curl, and the various form
Preface .......................................... ix ......................................... Foreword xi ... .................................... The ECC web site xi11 ..................................... 1 Introduction .................... 1.1
We give a simple technique for verifying the Restricted Isometry Property (as introduced by Cand`es and Tao) for random matrices that underlies Compressed Sensing. Our approach has two main ingredients: (i) concentration inequalities for random inne
Hill-Climbing Algorithm for Color Image Segmentation. % IDX = KMEANS(X, K) partitions the points in the N-by-P data matrix % X into K clusters. This partition minimizes the sum, over all % clusters, of the within-cluster sums of point-to-cluster-cen
Automatic texture defect detection is highly important for many fields of visual inspection.We introduce novel, geometrical texture features for this task, which are Euclidean motion invariant and texture adaptive: An algebraic function (rational, P
The research focus of designing local patch descr iptors.has gradually shifted from handcrafted ones (e.g., SIFT) to.learned ones. In this paper, we propose to learn high per-.formance descr iptor in Euclidean space via the Convolu-.tional Neural Net
