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ICMLA
2010
14 years 7 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson
CVPR
2010
IEEE
15 years 1 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
MICCAI
2007
Springer
15 years 4 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
AAAI
2004
14 years 11 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
ADBIS
2000
Springer
119views Database» more  ADBIS 2000»
15 years 2 months ago
A Benchmarking Technique for DBMS's with Advanced Data Models
The majority of database benchmarks currently in use in the industry were designed for relational databases. A different class of benchmarks became required for object oriented dat...
Naphtali Rishe, Alexander Vaschillo, Dmitry Vasile...