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» Lower Bounds for Kernelizations
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STOC
2010
ACM
244views Algorithms» more  STOC 2010»
14 years 8 months ago
Improving Exhaustive Search Implies Superpolynomial Lower Bounds
The P vs NP problem arose from the question of whether exhaustive search is necessary for problems with short verifiable solutions. We do not know if even a slight algorithmic imp...
Ryan Williams
FOCS
2008
IEEE
14 years 5 months ago
Lower Bounds for Noisy Wireless Networks using Sampling Algorithms
We show a tight lower bound of Ω(N log log N) on the number of transmissions required to compute several functions (including the parity function and the majority function) in a...
Chinmoy Dutta, Jaikumar Radhakrishnan
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 5 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
DAC
1999
ACM
14 years 3 months ago
Using Lower Bounds During Dynamic BDD Minimization
Ordered Binary Decision Diagrams BDDs are a data structure for representation and manipulation of Boolean functions often applied in VLSI CAD. The choice of the variable orderin...
Rolf Drechsler, Wolfgang Günther
FOCS
1994
IEEE
14 years 3 months ago
A Spectral Approach to Lower Bounds
We establish a nonlinear lower bound for halfplane range searching over a group. Specifically, we show that summing up the weights of n (weighted) points within n halfplanes requir...
Bernard Chazelle