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» On Approximation Algorithms for Hierarchical MAX-SAT
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VISSYM
2003
15 years 1 months ago
Adaptive Smooth Scattered Data Approximation for Large-scale Terrain Visualization
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
Martin Bertram, Xavier Tricoche, Hans Hagen
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
15 years 8 months ago
Highly Accurate Fast Methods for Extraction and Sparsification of Substrate Coupling Based on Low-Rank Approximation
More aggressive design practices have created renewed interest in techniques for analyzing substrate coupling problems. Most previous work has focused primarily on faster techniqu...
Joe Kanapka, Jacob White
MIR
2004
ACM
153views Multimedia» more  MIR 2004»
15 years 5 months ago
Clip-based similarity measure for hierarchical video retrieval
This paper proposes a new approach and algorithm for the similarity measure of video clips. The similarity is mainly based on two bipartite graph matching algorithms: maximum matc...
Yuxin Peng, Chong-Wah Ngo
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
15 years 12 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
NN
2006
Springer
113views Neural Networks» more  NN 2006»
14 years 11 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter