Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition Bernard Widrow, Stanford University Rodney Winter, United States Air Force

Source URL: www-isl.stanford.edu

• Artificial neural networks
• Digital signal processing
• Computational neuroscience
• Computational statistics
• Adaptive filter
• Signal processing
• Artificial neuron
• ADALINE
• Bernard Widrow
• Digital filter
• Equalization
• Control theory

Journal of Machine Learning Research–1034 Submitted 6/03; Revised 05/04; Published 8/04 On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition

Source URL: jmlr.csail.mit.edu

Pattern Recognition Letters–910 Contents lists available at SciVerse ScienceDirect Pattern Recognition Letters journal homepage: www.elsevier.com/locate/patrec

Source URL: www.cse.msu.edu

Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗

Source URL: www.cv-foundation.org

• Feature detection
• Computer vision
• Artificial intelligence
• Vision
• Computational neuroscience
• Convolutional neural network
• Deep learning
• Outline of object recognition
• Maximally stable extremal regions
• Visual descriptor
• GLOH
• Conference on Computer Vision and Pattern Recognition

Action Recognition by Hierarchical Mid-level Action Elements Tian Lan⇤ , Yuke Zhu⇤, Amir Roshan Zamir and Silvio Savarese Stanford University Abstract Realistic videos of human actions exhibit rich spatiotemporal str

Source URL: cvgl.stanford.edu

• IEEE conferences
• Science and technology
• Science in society
• Activity recognition
• Cognition
• Cluster analysis
• Conference on Computer Vision and Pattern Recognition
• Image segmentation
• International Conference on Computer Vision
• Electrical engineering

Walk and Learn: A Two-Stage Approach for Opinion Words and Opinion Targets Co-Extraction Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao National Laboratory of Pattern Recognition Institute of Automation, Chinese Aca

Source URL: www2013.org

Pattern Recognition and Machine Learning Solutions to the Exercises: Web-Edition Markus Svens´en and Christopher M. Bishop c 2002–2009 Copyright

Source URL: research.microsoft.com

Probabilistic Reasoning for Assembly-Based 3D Modeling

Source URL: geometry.stanford.edu

• Statistical models
• Machine learning
• Bayesian statistics
• Cluster analysis
• Mixture model
• Pattern recognition
• Graphical model
• Bayesian network
• Probabilistic logic
• Principal component analysis
• Expectationmaximization algorithm
• Probability distribution

2015 IEEE Applied Imagery Pattern Recognition Workshop Call for Papers AIPR 2015 Imaging: Earth and Beyond Cosmos Club, W ashington DC

Source URL: www.aipr-workshop.org

Best of both worlds: human-machine collaboration for object annotation Olga Russakovsky1 Li-Jia Li2 Li Fei-Fei1 1 Stanford University 2 Snapchat∗ Abstract

Source URL: ai.stanford.edu

• Machine learning
• Image segmentation
• ImageNet
• Conference on Computer Vision and Pattern Recognition
• Automatic image annotation
• Minimum bounding box
• Pattern recognition
• Object detection
• Computer vision