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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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ACCV
2006
Springer
14 years 1 months ago
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
Sungho Kim, In-So Kweon
CAD
2000
Springer
13 years 7 months ago
Semantic feature modelling
: Current feature modelling systems suffer from a number of shortcomings. One is that the meaning of features is often not adequately maintained during modelling, which implies tha...
Rafael Bidarra, Willem F. Bronsvoort
JMLR
2012
11 years 9 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
TIP
2008
142views more  TIP 2008»
13 years 7 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...