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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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ICML
2000
IEEE
16 years 7 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
ICCV
2007
IEEE
16 years 14 days ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
SMA
2009
ACM
141views Solid Modeling» more  SMA 2009»
15 years 10 months ago
Robust principal curvatures using feature adapted integral invariants
Principal curvatures and principal directions are fundamental local geometric properties. They are well defined on smooth surfaces. However, due to the nature as higher order diļ...
Yu-Kun Lai, Shi-Min Hu, Tong Fang
TCSV
2008
291views more  TCSV 2008»
15 years 6 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
COGCOM
2011
213views more  COGCOM 2011»
15 years 19 days ago
Spatiotemporal Features for Action Recognition and Salient Event Detection
Although the mechanisms of human visual understanding remain partially unclear, computational models inspired by existing knowledge on human vision have emerged and applied to seve...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...