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» Learning with Mixtures of Trees
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ICCV
2009
IEEE
15 years 1 months ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...
CVPR
2010
IEEE
14 years 4 months ago
A Hough Transform-Based Voting Framework for Action Recognition
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
Angela Yao, Juergen Gall, Luc Van Gool
CVPR
2010
IEEE
14 years 4 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
CHI
2010
ACM
14 years 2 months ago
Apatite: a new interface for exploring APIs
We present Apatite, a new tool that aids users in learning and understanding a complex API by visualizing the common associations between its various components. Current object-or...
Daniel S. Eisenberg, Jeffrey Stylos, Brad A. Myers
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
14 years 2 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...