Sciweavers

2925 search results - page 267 / 585
» Input Modeling Using Quantile Statistical Methods
Sort
View
118
Voted
TVCG
2012
182views Hardware» more  TVCG 2012»
13 years 3 months ago
ISP: An Optimal Out-of-Core Image-Set Processing Streaming Architecture for Parallel Heterogeneous Systems
—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
Linh K. Ha, Jens Krüger, João Luiz Dih...
WSC
2004
15 years 2 months ago
Efficient Simulation-Based Discrete Optimization
In many practical applications of simulation it is desirable to optimize the levels of integer or binary variables that are inputs for the simulation model. In these cases, the ob...
Seth D. Guikema, Rachel A. Davidson, Zehra Ç...
BMCBI
2007
215views more  BMCBI 2007»
15 years 25 days ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
PAMI
2002
112views more  PAMI 2002»
15 years 14 days ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
ICASSP
2009
IEEE
15 years 7 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young