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CVPR
2011
IEEE
15 years 2 months ago
Scale and Rotation Invariant Matching Using Linearly Augmented Trees
We propose a novel linearly augmented tree method for efficient scale and rotation invariant object matching. The proposed method enforces pairwise matching consistency defined ...
Hao Jiang, Tai-Peng Tian, Stan Sclaroff
TSP
2010
15 years 29 days ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
GECCO
2004
Springer
15 years 11 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
ICCV
2005
IEEE
16 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
INFOCOM
1999
IEEE
15 years 10 months ago
Inference of Multicast Routing Trees and Bottleneck Bandwidths Using End-to-end Measurements
Abstract-- The efficacy of end-to-end multicast transport protocols depends critically upon their ability to scale efficiently to a large number of receivers. Several research mult...
Sylvia Ratnasamy, Steven McCanne