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» Approximation Methods for Supervised Learning
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CVPR
2004
IEEE
14 years 10 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICCV
2003
IEEE
14 years 10 months ago
Fast Pose Estimation with Parameter-Sensitive Hashing
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
Gregory Shakhnarovich, Paul A. Viola, Trevor Darre...
SIGMOD
2006
ACM
137views Database» more  SIGMOD 2006»
14 years 8 months ago
Optimal multi-scale patterns in time series streams
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
Spiros Papadimitriou, Philip S. Yu
SIBGRAPI
2009
IEEE
14 years 3 months ago
Hermite Interpolation of Implicit Surfaces with Radial Basis Functions
—We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured p...
Ives Macedo, Joao Paulo Gois, Luiz Velho
AAAI
2007
13 years 11 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash