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» New Algorithms for Statistical Analysis of Interval Data
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CVPR
2010
IEEE
15 years 8 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
APIN
2002
90views more  APIN 2002»
14 years 11 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
15 years 6 months ago
Building a Better Similarity Trap with Statistically Improbable Features
One of the persistent topics in digital forensic research in recent years has been the problem of finding all things similar. Developed tools usually take on the form of similarit...
Vassil Roussev
IJCAI
2003
15 years 1 months ago
Corpus-based, Statistical Goal Recognition
Goal recognition for dialogue systems needs to be fast, make early predictions, and be portable. We present initial work which shows that using statistical, corpus-based methods t...
Nate Blaylock, James F. Allen
ICML
2000
IEEE
16 years 20 days ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore