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TNN
2008
82views more  TNN 2008»
15 years 6 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
MICCAI
2002
Springer
16 years 7 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
IISWC
2006
IEEE
16 years 8 days ago
Constructing a Non-Linear Model with Neural Networks for Workload Characterization
Workload characterization involves the understanding of the relationship between workload configurations and performance characteristics. To better assess the complexity of worklo...
Richard M. Yoo, Han Lee, Kingsum Chow, Hsien-Hsin ...
INTERSPEECH
2010
15 years 1 months ago
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
Tomas Mikolov, Martin Karafiát, Lukas Burge...
ICCV
1999
IEEE
16 years 8 months ago
Neurocalibration: A Neural Network That Can Tell Camera Calibration Parameters
Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...
Moumen T. Ahmed, Elsayed E. Hemayed, Aly A. Farag