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BC
2002
90views more  BC 2002»
14 years 9 months ago
What can the hippocampal representation of environmental geometry tell us about Hebbian learning?
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
Colin Lever, Neil Burgess, Francesca Cacucci, Tom ...
CAV
2006
Springer
116views Hardware» more  CAV 2006»
15 years 1 months ago
Lazy Shape Analysis
Abstract. Many software model checkers are based on predicate abstraction. If the verification goal depends on pointer structures, the approach does not work well, because it is di...
Dirk Beyer, Thomas A. Henzinger, Grégory Th...
CVIU
2008
82views more  CVIU 2008»
14 years 9 months ago
Shape matching and registration by data-driven EM
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target ...
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille
SCALESPACE
2009
Springer
15 years 4 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
JMIV
2007
143views more  JMIV 2007»
14 years 9 months ago
Measures for Benchmarking of Automatic Correspondence Algorithms
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson