8-2 MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN Overlap Vehicle Detection by Tracking Horizontal Lines Kazunori Onoguchi

Source URL: www.mva-org.jp

• T1
• Horizontal plane
• Fixed-wing aircraft

Optimizing Discrimination-Efficiency Tradeoff in Integrating Heterogeneous Local Features for Object Detection

Source URL: iris.usc.edu

• Vision
• Ensemble learning
• Face recognition
• Histogram of oriented gradients
• Statistical classification
• Classifier
• Face detection
• AdaBoost
• Learning classifier system
• Artificial intelligence
• Machine learning
• Computer vision

8-15 MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN 2QD7HFKQLTXHIRU(YDOXDWLQJ3HUIRUPDQFHRI:LSHUV %DVHGRQ)RUZDUG9LVLELOLW\

Source URL: www.mva-org.jp

[removed]MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN On Face Recognition using Hierarchical Self-organized Gabor Features

Source URL: www.mva-org.jp

• Cybernetics
• Artificial intelligence
• Computational neuroscience
• Gabor filter
• Image processing
• Wavelet
• Self-organizing map
• Unsupervised learning
• Pattern recognition
• Neural networks
• Machine learning
• Statistics

In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June[removed]Fast Image Search for Learned Metrics Prateek Jain Brian Kulis Kristen Grauman Department of Computer Sciences Universi

Source URL: www.cs.utexas.edu

• Information retrieval
• Hash function
• Locality-sensitive hashing
• K-nearest neighbor algorithm
• Nearest neighbor search
• Hash table
• Cryptographic hash function
• Machine learning
• Search algorithms
• Information science
• Artificial intelligence

To appear, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June[removed]Keywords to Visual Categories: Multiple-Instance Learning for Weakly Supervised Object Categorization Sudheendra Vijay

Source URL: www.cs.utexas.edu

• Multiple-instance learning
• Pattern recognition
• Support vector machine
• Content-based image retrieval
• Supervised learning
• Object recognition
• Statistical classification
• Image retrieval
• Unsupervised learning
• Computer vision
• Machine learning
• Artificial intelligence

Effects of generative and discriminative learning on use of category variability Anne S. Hsu ([removed]) Department of Cognitive, Perceptual and Brain Sciences, University College London, London, UK Thomas L.

Source URL: ahsu.psychol.ucl.ac.uk

• Artificial intelligence
• Learning
• Generative model
• Discriminative model
• Pattern recognition
• Graphical model
• Language acquisition
• Bag of words model in computer vision
• Linear classifier
• Machine learning
• Statistics
• Statistical models

Towards scalable dataset construction: An active learning approach Brendan Collins, Jia Deng, Kai Li, and Li Fei-Fei {bmcollin, dengjia, li, feifeili}@cs.princeton.edu Department of Computer Science, Princeton University

Source URL: vision.stanford.edu

• Ensemble learning
• Computer vision
• Statistical classification
• AdaBoost
• Boosting
• Decision stump
• Color histogram
• LabelMe
• Support vector machine
• Machine learning
• Artificial intelligence
• Vision

hierarchy_classify_example_eccv

Source URL: vision.stanford.edu

• Science
• Knowledge representation
• WordNet
• Support vector machine
• K-nearest neighbor algorithm
• Machine learning
• Geographic information system
• Semantic similarity
• Silicon Valley Microelectronics
• Computational linguistics
• Statistics
• Artificial intelligence

Magazine of the Canterbury Apple Users Applebyte September[removed]We just wanted to honor Steve Job’s vision for the future,

Source URL: www.appleusers.co.nz

• Computing
• Mac OS
• Time Machine
• System Folder
• Disk Utility
• FileVault
• Mac OS X Lion
• Mac OS X Snow Leopard
• Finder
• Software
• System software
• Mac OS X