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ICML
2008
IEEE
16 years 8 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
INFOCOM
2006
IEEE
16 years 1 months ago
A Comparative Study of the DNS Design with DHT-Based Alternatives
— The current Domain Name System (DNS) follows a hierarchical tree structure. Several recent efforts proposed to re-implement DNS as a peer-to-peer network with a flat structure...
Vasileios Pappas, Daniel Massey, Andreas Terzis, L...
AVI
2006
15 years 9 months ago
NAVRNA: visualization - exploration - editing of RNA
In this paper we describe NAVRNA, an interactive system that enables biologists or researchers in bioinformatics to visualize, explore and edit RNA molecules. The key characterist...
Gilles Bailly, Laurence Nigay, David Auber
IJCAI
1997
15 years 9 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn
TMI
1998
122views more  TMI 1998»
15 years 7 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka