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» Localized Upper and Lower Bounds for Some Estimation Problem...
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ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 3 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
ECCC
2011
183views ECommerce» more  ECCC 2011»
14 years 4 months ago
Extractors and Lower Bounds for Locally Samplable Sources
We consider the problem of extracting randomness from sources that are efficiently samplable, in the sense that each output bit of the sampler only depends on some small number d ...
Anindya De, Thomas Watson
DATE
1998
IEEE
93views Hardware» more  DATE 1998»
15 years 1 months ago
Exact and Approximate Estimation for Maximum Instantaneous Current of CMOS Circuits
We present an integer-linear-programming-based approach for estimating the maximum instantaneous current through the power supply lines for CMOS circuits. It produces the exact so...
Yi-Min Jiang, Kwang-Ting Cheng
ICDT
2009
ACM
148views Database» more  ICDT 2009»
15 years 10 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha
COCOA
2010
Springer
14 years 7 months ago
Bounds for Nonadaptive Group Tests to Estimate the Amount of Defectives
The classical and well-studied group testing problem is to find d defectives in a set of n elements by group tests, which tell us for any chosen subset whether it contains defectiv...
Peter Damaschke, Azam Sheikh Muhammad