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JMLR
2012
12 years 13 days ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
NN
2000
Springer
152views Neural Networks» more  NN 2000»
13 years 9 months ago
A neural network theory of proportional analogy-making
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
Nilendu G. Jani, Daniel S. Levine
STEP
2005
IEEE
14 years 3 months ago
Using Metamodels in Service Interoperability
Interoperability in service oriented environments is heavily inuenced by the view that the cooperating services have on their data. e term service for the abstract contract concl...
Andreas Winter, Jürgen Ebert
ISCA
2005
IEEE
119views Hardware» more  ISCA 2005»
14 years 3 months ago
Rescue: A Microarchitecture for Testability and Defect Tolerance
Scaling feature size improves processor performance but increases each device’s susceptibility to defects (i.e., hard errors). As a result, fabrication technology must improve s...
Ethan Schuchman, T. N. Vijaykumar
MICCAI
2009
Springer
14 years 11 months ago
Biomechanically-Constrained 4D Estimation of Myocardial Motion
We propose a method for the analysis of Magnetic Resonance (MR) cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method i...
Hari Sundar, Christos Davatzikos, George Biros