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Feature model
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#	Item
21	Top-down Visual Attention Computational Model Using Visual Feature Distribution of Search Target Toshiya Ohira Takatsugu Hirayama Add to Reading List Source URL: workshops.acin.tuwien.ac.at Language: English - Date: 2014-03-11 11:44:35 Neuroscience Cognitive science Cognition Neuropsychology Attention Cognitive psychology Perception Vision Salience Visual search Feature integration theory Artificial neural network
22	Microsoft Word - Fergus.doc Add to Reading List Source URL: svg.dmi.unict.it Language: English - Date: 2012-04-09 11:39:21 Education Machine learning Learning Feature detection Artificial intelligence Feature learning Deep learning Feature Outline of object recognition Educational technology Computer vision Bag-of-words model in computer vision
23	URISA Government Agency Membership — now including a URISA GMI GIS Capability Maturity Model Assessment Service Subscription URISA is pleased to introduce a valuable new benefit as a feature of government agency member Add to Reading List Source URL: www.urisa.org Language: English - Date: 2016-05-12 15:31:01 Urban and Regional Information Systems Association Computing Technology Email Mail Fax Information GIS
24	Features as First-class Entities – Toward a Better Representation of Features ¨ Sagar Sunkle, Marko Rosenmuller, Norbert Siegmund, Syed Saif ur Rahman, Gunter Saake Add to Reading List Source URL: www.infosun.fim.uni-passau.de Language: English - Date: 2008-10-06 13:11:44 Software engineering Computing Computer programming Functional languages Object-oriented programming languages Concurrent programming languages Programming paradigms Scripting languages Aspect-oriented software development Object-oriented programming Feature model Objective-C
25	XU AND MORDOHAI: EXPRESSION RECOGNITION USING BAGS OF MOTION WORDS 1 Automatic Facial Expression Recognition using Bags of Motion Words Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2010-07-26 21:04:54 Computer vision Artificial intelligence Statistical classification Information science Feature detection Machine learning Image search Bag-of-words model in computer vision Support vector machine Optical flow Feature Visual Word
26	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
27	Automated Analysis of Dependent Feature Models Reimar Schröter, Thomas Thüm, Norbert Siegmund, Gunter Saake ∗ University of Magdeburg Add to Reading List Source URL: wwwiti.cs.uni-magdeburg.de Language: English - Date: 2013-01-29 03:26:18 Feature model Conceptual model Feature recognition Economic model Scientific modelling Epistemology Engineering Philosophy of science
28	Semantic and geometric enrichment of 3D geo-spatial building models with photo captions and illustration labels using template matching & SIFT Jon Slade, Christopher B. Jones† and Paul L. Rosin‡ School of Computer S Add to Reading List Source URL: users.cs.cf.ac.uk Language: English* - Date: 2016-03-26 10:21:38 Feature detection Vision Artificial intelligence 3D city models Scale-invariant feature transform Template matching Bag-of-words model in computer vision 3D modeling Image segmentation Structure from motion Speeded up robust features Computer graphics
29	Computer Vision Exercise Session 10 – Image Categorization Object Categorization  Task Description Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-12-15 06:45:03 Computer vision Artificial intelligence Vision Feature detection Machine learning Bag-of-words model in computer vision Histogram of oriented gradients Feature Classifier Visual Word Bag-of-words model Statistical classification
30	Electronic Letters on Computer Vision and Image Analysis 0(0):1-7, 2000 Optimal Geometric Matching for Patch-Based Object Detection Daniel Keysers∗ and Thomas Deselaers+ and Thomas M. Breuel∗† ∗ Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:37 Feature detection Artificial intelligence Image processing Machine learning Outline of object recognition Image segmentation Hough transform Pattern recognition Constellation model Learning One-shot learning Bag-of-words model in computer vision

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