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» Using Random Forests in the Structured Language Model
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COLING
2010
13 years 1 months ago
Dependency Forest for Statistical Machine Translation
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms ...
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, ...
ICCV
2011
IEEE
12 years 6 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
ICASSP
2011
IEEE
12 years 10 months ago
Multi-cue based multi-target tracking using online random forests
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
ACL
1989
13 years 7 months ago
The Structure of Shared Forests in Ambiguous Parsing
The Context-Free backbone of some natural language analyzers produces all possible CF parses as some kind of shared forest, from which a single tree is to be chosen by a disambigu...
Sylvie Billot, Bernard Lang
DEXAW
2005
IEEE
144views Database» more  DEXAW 2005»
13 years 12 months ago
A Partial Ontology for Forest Inventory and Mensuration
Keywords, restricted vocabularies (RVs), thesauri, and catalogues are introduced leading up to discussion of the need for full ontologies to describe the full logical and relation...
Keith Rennolls