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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 1 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
NIPS
2004
13 years 8 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 7 months ago
A Note on the Periodicity and the Output Rate of Bit Search Type Generators
We investigate the bit-search type irregular decimation algorithms that are used within LFSR-based stream ciphers. In particular, we concentrate on BSG and ABSG, and consider two ...
Yucel Altug, N. Polat Ayerden, Mehmet Kivanç...
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 10 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
QEST
2010
IEEE
13 years 5 months ago
On the Theory of Stochastic Processors
Traditional architecture design approaches hide hardware uncertainties from the software stack through overdesign, which is often expensive in terms of power consumption. The recen...
Parasara Sridhar Duggirala, Sayan Mitra, Rakesh Ku...