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VLDB
1997
ACM
134views Database» more  VLDB 1997»
15 years 1 months ago
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Yun-Wu Huang, Ning Jing, Elke A. Rundensteiner
ICCV
2001
IEEE
15 years 11 months ago
Face Recognition with Support Vector Machines: Global versus Component-based Approach
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
Bernd Heisele, Purdy Ho, Tomaso Poggio
IMECS
2007
14 years 11 months ago
Metamodel-Assisted Global Search Using a Probing Technique
—This paper presents a new metamodel-assisted metaheuristic algorithm for optimisation problems involving computationally expensive simulations. The algorithm, called Global Prob...
Anna Persson, Henrik Grimm, Amos Ng
CGF
2008
262views more  CGF 2008»
14 years 9 months ago
Global Correspondence Optimization for Non-Rigid Registration of Depth Scans
We present a registration algorithm for pairs of deforming and partial range scans that addresses the challenges of non-rigid registration within a single non-linear optimization....
Hao Li, Robert W. Sumner, Mark Pauly
PAMI
2011
14 years 4 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang