Visual Classification of Coarse Vehicle Orientation using Histogram of Oriented Gradients Features Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman Abstract— For an autonomous vehicle, detecting a

Source URL: www.ri.cmu.edu

• Machine learning
• Parts of speech
• Feature detection
• Histogram of oriented gradients
• Classifier
• Lidar
• Statistical classification
• Pattern recognition
• Caltech 101
• ViolaJones object detection framework
• Chinese classifier

Higher Order Cognition using Computers: Learning Abstract Concepts with Recursive Graph-based Self Organizing Maps Peter J. Bentley1, 2, Alexander Kurashov1 and Soo Ling Lim1, 2 1 Braintree Limited, London, United Kingd

Source URL: s3-eu-west-1.amazonaws.com

• Dimension reduction
• Artificial neural networks
• Self-organizing map
• Data mining
• Concept learning
• Machine learning
• Cluster analysis
• Graph database

Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahc¸eci and Risto Miikkulainen Abstract— Learning is key to achieving human-level intelligence. Transferring knowledge that is learned on one task to anothe

Source URL: www.csse.uwa.edu.au

• Artificial neural networks
• Evolutionary algorithms
• Applied mathematics
• Artificial intelligence
• Machine learning
• Evolutionary computation
• Genetic algorithms
• Computational statistics
• Neuroevolution
• HyperNEAT
• Compositional pattern-producing network
• Pattern recognition

Extending Neuro-evolutionary Preference Learning through Player Modeling H´ector P. Mart´ınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE Abstract—In this paper we propose a methodology for improving

Source URL: game.itu.dk

• Artificial neural networks
• Dimension reduction
• Computational neuroscience
• Computational statistics
• Georgios N. Yannakakis
• Affective computing
• Machine learning
• Preference learning
• Competitive learning
• Artificial intelligence
• Self-organizing map
• Feature selection

Positive Definite Matrices: Data Representation and Applications to Computer Vision Anoop Cherian and Suvrit Sra Abstract Numerous applications in computer vision and machine learning rely on representations of data that

Source URL: suvrit.de

PRUNING SUBSEQUENCE SEARCH WITH ATTENTION-BASED EMBEDDING Colin Raffel and Daniel P. W. Ellis LabROSA Columbia University New York, NY ABSTRACT

Source URL: colinraffel.com

• Artificial intelligence
• Learning
• Machine learning
• Artificial neural networks
• Dynamic programming
• Dynamic time warping
• Time series analysis
• Computational neuroscience
• Deep learning
• Speech recognition
• Word2vec
• Sequence alignment

Inside A Compiler Jonathan Worthington Perl 6

Source URL: jnthn.net

• Compiler construction
• Cross-platform software
• Perl 6
• High-level programming languages
• Scripting languages
• Parrot virtual machine
• Perl
• Abstract syntax tree
• Syntax
• Compiler
• Parsing
• Code generation

Representational Complexity of Reactive Agents Frederick W. P. Heckel, Member, IEEE, G. Michael Youngblood, Member, IEEE, and Nikhil S. Ketkar Abstract— Reactive agents are an important part of video games and numerous

Source URL: game.itu.dk

• Artificial intelligence
• Software architecture
• Software engineering
• Cognitive architecture
• Automated planning and scheduling
• Cognitive science
• Subsumption architecture
• Models of computation
• Behavior tree
• Finite-state machine
• Intelligent agent
• Agent architecture

Geometric Optimization in Machine Learning Suvrit Sra and Reshad Hosseini Abstract Machine learning models often rely on sparsity, low-rank, orthogonality, correlation, or graphical structure. The structure of interest i

Source URL: suvrit.de

Robust Bayesian clustering C´edric Archambeau Michel Verleysen ⋆ Machine Learning Group, Universit´e catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium. Abstract

Source URL: www0.cs.ucl.ac.uk