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ESANN
2006
13 years 10 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
CSCW
2012
ACM
12 years 4 months ago
Collaboratively crowdsourcing workflows with turkomatic
Preparing complex jobs for crowdsourcing marketplaces requires careful attention to workflow design, the process of decomposing jobs into multiple tasks, which are solved by multi...
Anand Pramod Kulkarni, Matthew Can, Björn Har...
ICCV
2003
IEEE
14 years 11 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...

Publication
258views
13 years 6 months ago
iModel: Interactive Co-segmentation for Object of Interest 3D Modeling
We present an interactive system to create 3D models of objects of interest in their natural cluttered environments. A typical setting for 3D modeling of an object of interest invo...
Adarsh Kowdle, Wen-Chao Chen, Dhruv Batra, Tsuhan ...
DICTA
2009
13 years 10 months ago
Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
Abstract--The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the...
Ruan Lakemond, Clinton Fookes, Sridha Sridharan