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» Selectivity Estimation using Probabilistic Models
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DAC
1999
ACM
15 years 9 months ago
Behavioral Synthesis of Analog Systems Using Two-layered Design Space Exploration
This paper presents a novel approach for synthesis of analog systems from behavioral VHDL-AMS specifications. We implemented this approach in the VASE behavioral-synthesis tool. ...
Alex Doboli, Adrián Núñez-Ald...
ICML
2004
IEEE
16 years 5 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
ICVGIP
2004
15 years 6 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
3DOR
2008
15 years 7 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
ICC
2008
IEEE
146views Communications» more  ICC 2008»
15 years 11 months ago
APOS: Adaptive Parameters Optimization Scheme for Voice over IEEE 802.11g
—In this paper we present APOS, a method for dynamically adapting the parameters of IEEE 802.11g to the estimated system state, with the aim of enhancing the quality of a voice c...
Nicola Baldo, Federico Maguolo, Simone Merlin, And...