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ECCV
2004
Springer
14 years 11 months ago
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
In this paper, we propose a new PDE-based methodology for deformable surfaces that is capable of automatically evolving its shape to capture the geometric boundary of the data and ...
Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras
ICCV
2007
IEEE
14 years 4 months ago
Toward a Theory of Shape from Specular Flow
The image of a curved, specular (mirror-like) surface is a distorted reflection of the environment. The goal of our work is to develop a framework for recovering general shape fr...
Yair Adato, Yuriy Vasilyev, Ohad Ben-Shahar, Todd ...
IJAR
2008
92views more  IJAR 2008»
13 years 9 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
13 years 19 days ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
12 years 7 days ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu