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» Learning a Continuous Hidden Variable Model for Binary Data
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ISBI
2009
IEEE
15 years 4 months ago
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
Amir Alush, Hayit Greenspan, Jacob Goldberger
TMI
2010
201views more  TMI 2010»
14 years 8 months ago
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images
—This paper presents a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We describe and evaluat...
Amir Alush, Hayit Greenspan, Jacob Goldberger
NIPS
2004
14 years 11 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
IJCAI
2007
14 years 11 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
15 years 10 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum