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152
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INFOCOM
2005
IEEE
15 years 10 months ago
Time and energy complexity of distributed computation in wireless sensor networks
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
Nilesh Khude, Anurag Kumar, Aditya Karnik
3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
15 years 8 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
CORR
2007
Springer
173views Education» more  CORR 2007»
15 years 5 months ago
Computing modular polynomials in quasi-linear time
We analyse and compare the complexity of several algorithms for computing modular polynomials. We show that an algorithm relying on floating point evaluation of modular functions...
Andreas Enge
110
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SPIN
2005
Springer
15 years 10 months ago
An Incremental Heap Canonicalization Algorithm
Abstract. The most expensive operation in explicit state model checking is the hash computation required to store the explored states in a hash table. One way to reduce this comput...
Madanlal Musuvathi, David L. Dill
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
15 years 8 months ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel