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ESWA
2007
96views more  ESWA 2007»
13 years 5 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...
IJIT
2004
13 years 7 months ago
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series
-- This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time serie...
Melike Sah, Konstantin Y. Degtiarev
BMCBI
2005
178views more  BMCBI 2005»
13 years 5 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
ACCV
2010
Springer
13 years 24 days ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
PAM
2005
Springer
13 years 11 months ago
New Methods for Passive Estimation of TCP Round-Trip Times
We propose two methods to passively measure and monitor changes in round-trip times (RTTs) throughout the lifetime of a TCP connection. Our first method associates data segments w...
Bryan Veal, Kang Li, David K. Lowenthal