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NN
2007
Springer
131views Neural Networks» more  NN 2007»
15 years 6 months ago
Decoupled echo state networks with lateral inhibition
Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving the use of lateral inhibition. Two low-complexity...
Yanbo Xue, Le Yang, Simon Haykin
ICIP
2009
IEEE
15 years 5 months ago
Light Speed Labeling for RISC architectures
This article introduces a fast algorithm for Connected Component Labeling of binary images called Light Speed Labeling. It is segment-based and a line-relative labeling that was e...
Lionel Lacassagne, Bertrand Zavidovique
JMLR
2010
160views more  JMLR 2010»
15 years 2 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
EMMCVPR
2011
Springer
14 years 7 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
BMCBI
2008
146views more  BMCBI 2008»
15 years 7 months ago
Can molecular dynamics simulations help in discriminating correct from erroneous protein 3D models?
Background: Recent approaches for predicting the three-dimensional (3D) structure of proteins such as de novo or fold recognition methods mostly rely on simplified energy potentia...
Jean-François Taly, Antoine Marin, Jean-Fra...