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CGF
2002
184views more  CGF 2002»
15 years 3 months ago
The 3D Model Acquisition Pipeline
Three-dimensional (3D) image acquisition systems are rapidly becoming more affordable, especially systems based on commodity electronic cameras. At the same time, personal compute...
Fausto Bernardini, Holly E. Rushmeier
TNN
2008
177views more  TNN 2008»
15 years 3 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
DAGM
2010
Springer
15 years 2 months ago
An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM
Abstract. Graphical models with higher order factors are an important tool for pattern recognition that has recently attracted considerable attention. Inference based on such model...
Björn Andres, Jörg H. Kappes, Ullrich K&...
AVSS
2008
IEEE
15 years 10 months ago
Object and Scene-Centric Activity Detection Using State Occupancy Duration Modeling
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
Murtaza Taj, Andrea Cavallaro
DAC
2005
ACM
16 years 5 months ago
A quasi-convex optimization approach to parameterized model order reduction
In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvex program that explicitly minimizes a relaxation ...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel