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ICMLA
2007
13 years 9 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
ADCM
2008
112views more  ADCM 2008»
13 years 7 months ago
Frames in spaces with finite rate of innovation
Abstract. Signals with finite rate of innovation are those signals having finite degrees of freedom per unit of time that specify them. In this paper, we introduce a prototypical s...
Qiyu Sun
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
14 years 7 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
ANSS
2006
IEEE
14 years 1 months ago
iSimBioSys: A Discrete Event Simulation Platform for 'in silico' study of biological systems
With the availability of huge databases cataloguing the various molecular “parts” of complex biological systems, researchers from multiple disciplines have focused on developi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
14 years 1 months ago
Control software model checking using bisimulation functions for nonlinear systems
— This paper extends a method for integrating source-code model checking with dynamic system analysis to verify properties of controllers for nonlinear dynamic systems. Source-co...
James Kapinski, Alexandre Donzé, Flavio Ler...