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CVPR
2011
IEEE
14 years 5 months ago
Scenario-Based Video Event Recognition by Constraint Flow
We present a novel approach to representing and recognizing composite video events. A composite event is specified by a scenario, which is based on primitive events and their tem...
Suha Kwak, Bohyung Han, Joon Han
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
15 years 10 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
CVPR
2012
IEEE
12 years 12 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
CVPR
2007
IEEE
15 years 11 months ago
Free-Form Nonrigid Image Registration Using Generalized Elastic Nets
We introduce a novel probabilistic approach for nonparametric nonrigid image registration using generalized elastic nets, a model previously used for topographic maps. The idea of...
Andriy Myronenko, Miguel Á. Carreira-Perpi&...
TVCG
2008
167views more  TVCG 2008»
14 years 8 months ago
Optimal Surface Parameterization Using Inverse Curvature Map
Mesh parameterization is a fundamental technique in computer graphics. The major goals during mesh parameterization are to minimize both the angle distortion and the area distortio...
Yong-Liang Yang, Junho Kim, Feng Luo 0002, Shi-Min...