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» Decomposing replicable functions
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94
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ICIP
2008
IEEE
16 years 2 months ago
Sparse orthonormal transforms for image compression
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
112
Voted
ICIP
2006
IEEE
16 years 2 months ago
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching
Though implicit representations of surfaces have often been used for various computer graphics tasks like modeling and morphing of objects, it has rarely been used for registratio...
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
VIS
2008
IEEE
214views Visualization» more  VIS 2008»
16 years 2 months ago
Estimating Crossing Fibers: A Tensor Decomposition Approach
Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...
Thomas Schultz, Hans-Peter Seidel
92
Voted
EDBT
2006
ACM
116views Database» more  EDBT 2006»
16 years 27 days ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
15 years 7 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...