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FLAIRS
2004
15 years 8 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
ISPD
2012
ACM
289views Hardware» more  ISPD 2012»
14 years 2 months ago
Keep it straight: teaching placement how to better handle designs with datapaths
As technology scales and frequency increases, a new design style is emerging, referred to as hybrid designs, which contain a mixture of random logic and datapath standard cell com...
Samuel I. Ward, Myung-Chul Kim, Natarajan Viswanat...
CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
CVPR
2000
IEEE
16 years 8 months ago
Physical Panoramic Pyramid and Noise Sensitivity in Pyramids
Multi-resolution techniques have been used in a wide range of vision applications. Unfortunately, the costly operation of building a proper pyramid strongly reduces its value as a...
Weihong Yin, Terrance E. Boult
ICIP
2007
IEEE
16 years 8 months ago
Analysis of the Decoding-Complexity of Compressed Image-Based Scene Representations
Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques,...
Ingo Bauermann, Eckehard G. Steinbach