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NIPS
2004
14 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...
CORR
2007
Springer
117views Education» more  CORR 2007»
14 years 9 months ago
Sensor Networks with Random Links: Topology Design for Distributed Consensus
—In a sensor network, in practice, the communication among sensors is subject to: 1) errors that can cause failures of links among sensors at random times; 2) costs; and 3) const...
Soummya Kar, José M. F. Moura
ICCV
2009
IEEE
16 years 2 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
NAACL
2003
14 years 11 months ago
Shallow Parsing with Conditional Random Fields
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling...
Fei Sha, Fernando C. N. Pereira
MOBICOM
2003
ACM
15 years 3 months ago
Throughput capacity of random ad hoc networks with infrastructure support
In this paper, we consider the transport capacity of ad hoc networks with a random flat topology under the present support of an infinite capacity infrastructure network. Such a...
Ulas C. Kozat, Leandros Tassiulas