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» Embedding Heterogeneous Data Using Statistical Models
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105
Voted
CVPR
2000
IEEE
16 years 2 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
111
Voted
CIDR
2009
129views Algorithms» more  CIDR 2009»
15 years 1 months ago
Extracting and Querying a Comprehensive Web Database
Recent research in domain-independent information extraction holds the promise of an automatically-constructed structured database derived from the Web. A query system based on th...
Michael J. Cafarella
93
Voted
INFOCOM
2003
IEEE
15 years 6 months ago
Pseudo Likelihood Estimation in Network Tomography
Abstract— Network monitoring and diagnosis are key to improving network performance. The difficulties of performance monitoring lie in today’s fast growing Internet, accompani...
Gang Liang, Bin Yu
WSC
2001
15 years 2 months ago
The use of simulation for process improvement at an ambulatory surgery center
This work has for objective building a simulation model to evaluate different alternatives of operation of a projected center for ambulatory surgery. For the construction of the m...
Francisco J. Ramis, Jorge L. Palma, Felipe F. Baes...
105
Voted
NIPS
2007
15 years 2 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...