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IJON
2010
189views more  IJON 2010»
15 years 1 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
163
Voted
ISAMI
2010
15 years 1 months ago
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups
It is widely agreed that complex diseases are typically caused by the joint effects of multiple instead of a single genetic variation. These genetic variations may show very little...
Orlando Anunciação, Bruno C. Gomes, ...
172
Voted
ML
2012
ACM
413views Machine Learning» more  ML 2012»
13 years 11 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
155
Voted
TON
2012
13 years 5 months ago
Independent Directed Acyclic Graphs for Resilient Multipath Routing
—In order to achieve resilient multipath routing we introduce the concept of Independent Directed Acyclic Graphs (IDAGs) in this study. Link-independent (Node-independent) DAGs s...
Sangman Cho, Theodore Elhourani, Srinivasan Ramasu...
ICIP
2000
IEEE
16 years 5 months ago
Combined Spatial and Subband Block Coding of Images
This paper describes a low-memory cache efficient Hybrid Block Coder (HBC) for images in which an image subband decomposition is partitioned into a combination of spatial blocks a...
Frederick W. Wheeler, William A. Pearlman