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» Extracting Propositions from Trained Neural Networks
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BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...
ICIP
2002
IEEE
15 years 11 months ago
Content-based image retrieval for digital mammography
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ICANN
2007
Springer
15 years 4 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
ANNPR
2006
Springer
15 years 1 months ago
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
Edmondo Trentin
ICANN
2007
Springer
15 years 4 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio