1137 search results - page 31 / 228 » Parametric Process Model Inference |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
SMA
2010
ACM
13 years 2 months ago
2010
ACM
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
SEMCO
2007
IEEE
14 years 1 months ago
2007
IEEE
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
This work presents a novel approach in automatic detection of the lung nodules and is compared with respect to parametric nodule models in terms of sensitivity and specificity. A ...
CSDA
2008
13 years 7 months ago
2008
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...