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» Parameterized Complexity and Approximation Algorithms
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130
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FOCS
2008
IEEE
15 years 10 months ago
A Geometric Approach to Lower Bounds for Approximate Near-Neighbor Search and Partial Match
This work investigates a geometric approach to proving cell probe lower bounds for data structure problems. We consider the approximate nearest neighbor search problem on the Bool...
Rina Panigrahy, Kunal Talwar, Udi Wieder
134
Voted
STOC
2010
ACM
176views Algorithms» more  STOC 2010»
15 years 8 months ago
Complexity Theory for Operators in Analysis
We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...
Akitoshi Kawamura and Stephen Cook
116
Voted
ICML
2008
IEEE
16 years 4 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
145
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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
16 years 4 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
138
Voted
INFOCOM
2006
IEEE
15 years 9 months ago
Complexity of Wavelength Assignment in Optical Network Optimization
— We study the complexity of a spectrum of design problems for optical networks in order to carry a set of demands. Under wavelength division multiplexing (WDM) technology, deman...
Matthew Andrews, Lisa Zhang