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» Input Modeling Using Quantile Statistical Methods
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111
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IDEAL
2004
Springer
15 years 6 months ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
95
Voted
VR
2007
IEEE
118views Virtual Reality» more  VR 2007»
15 years 7 months ago
Rapid Animation of Laser-scanned Humans
We present a simple and efficient approach to turn laser-scanned human geometry into a realistically moving virtual avatar. Instead of relying on the classical skeleton-based ani...
Edilson de Aguiar, Christian Theobalt, Carsten Sto...
CVPR
2012
IEEE
13 years 3 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
130
Voted
CSB
2003
IEEE
15 years 6 months ago
Haplotype Motifs: An Algorithmic Approach to Locating Evolutionarily Conserved Patterns in Haploid Sequences
The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
Russell Schwartz
ICML
2001
IEEE
16 years 1 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...