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ACIVS
2005
Springer
16 years 5 days ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Luis Mancera, Javier Portilla
DGCI
2003
Springer
15 years 12 months ago
Geodesic Object Representation and Recognition
This paper describes a shape signature that captures the intrinsic geometric structure of 3D objects. The primary motivation of the proposed approach is to encode a 3D shape into a...
A. Ben Hamza, Hamid Krim
EMMCVPR
1999
Springer
15 years 11 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
IPPS
1998
IEEE
15 years 11 months ago
Memory Space Representation for Heterogeneous Network Process Migration
A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restor them appropriate...
Kasidit Chanchio, Xian-He Sun
EWCBR
1998
Springer
15 years 11 months ago
Similarity Measures for Object-Oriented Case Representations
Object-oriented case representations require approaches for similarity assessment that allow to compare two differently structured objects, in particular, objects belonging to diff...
Ralph Bergmann, Armin Stahl