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NIPS
2004
13 years 11 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
CCR
2004
119views more  CCR 2004»
13 years 9 months ago
Collecting the internet AS-level topology
At the inter-domain level, the Internet topology can be represented by a graph with Autonomous Systems (ASes) as nodes and AS peerings as links. This AS-level topology graph has b...
Beichuan Zhang, Raymond A. Liu, Daniel Massey, Lix...
ESA
2001
Springer
105views Algorithms» more  ESA 2001»
14 years 2 months ago
SNPs Problems, Complexity, and Algorithms
Abstract. Single nucleotide polymorphisms (SNPs) are the most frequent form of human genetic variation. They are of fundamental importance for a variety of applications including m...
Giuseppe Lancia, Vineet Bafna, Sorin Istrail, Ross...
ICASSP
2007
IEEE
14 years 4 months ago
Discriminative Gaussian Mixtures for Interactive Image Segmentation
Recently graph-cut optimization has been extensively explored for interactive image segmentation. In this paper we propose Discriminative Gaussian Mixtures (DGMs) to boost the per...
Jue Wang
SMA
2003
ACM
14 years 3 months ago
Geometric constraint solving via C-tree decomposition
This paper has two parts. First, we propose a method which can be used to decompose a geometric constraint graph into a c-tree. With this decomposition, solving for a well-constrai...
Xiao-Shan Gao, Gui-Fang Zhang