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» Improving Random Forests
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ICCV
2011
IEEE
12 years 8 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...
ECML
2007
Springer
13 years 12 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
FPGA
2010
ACM
181views FPGA» more  FPGA 2010»
13 years 11 months ago
Efficient multi-ported memories for FPGAs
Multi-ported memories are challenging to implement with FPGAs since the provided block RAMs typically have only two ports. We present a thorough exploration of the design space of...
Charles Eric LaForest, J. Gregory Steffan
HICSS
2009
IEEE
151views Biometrics» more  HICSS 2009»
14 years 2 months ago
Application of Logic and Decision Models in Sustainable Ecosystem Management
The Northern Region of the USDA Forest Service is using the Ecosystem Management Decision Support System (EMDS) to evaluate ecosystem sustainability for National Forest plan revis...
Mark Jensen, Keith Reynolds, Ute Langner, Melissa ...
CLEF
2010
Springer
13 years 9 months ago
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...