A Model of Zero-Shot Learning of Spoken Language Understanding Majid Yazdani Computer Science Department University of Geneva

Source URL: majid.yazdani.me

• Statistical classification
• Machine learning
• Artificial neural networks
• Support vector machine
• Word embedding
• Feature learning
• Multi-label classification
• Word2vec
• Margin classifier
• Language model

2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia Design and implementation of a high performance pedestrian detection Antonio Prioletti1 , Paolo Grisleri2 , Mohan M. Trivedi3 and Albe

Source URL: cvrr.ucsd.edu

• Feature detection
• Statistical classification
• Face recognition
• Pedestrian detection
• Surveillance
• ViolaJones object detection framework
• Cascading classifiers
• Support vector machine
• Edge detection
• Receiver operating characteristic
• Histogram of oriented gradients
• Computer-aided diagnosis

NII, Japan at MediaEval 2012 Violent Scenes Detection Affect Task Vu Lam Duy-Dinh Le

Source URL: ceur-ws.org

• Feature detection
• Local binary patterns
• Feature
• Color histogram
• Support vector machine
• Histogram
• Statistical classification

Handbook of Research on Organizational Transformations through Big Data Analytics Madjid Tavana La Salle University, USA

Source URL: www.bitstoenergy.ch

• Machine learning
• Statistical classification
• Support vector machine
• K-nearest neighbors algorithm
• Feature selection
• Ground truth
• Supervised learning
• Data analysis
• K-means clustering
• Energy industry

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector

Source URL: www.bitstoenergy.ch

• Regression analysis
• Statistical classification
• Econometrics
• Independence
• Machine learning
• Linear discriminant analysis
• Feature selection
• Linear regression
• Correlation and dependence
• Coefficient of determination
• Pattern recognition
• Support vector machine

Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

Source URL: www.anthology.aclweb.org

• Machine learning
• Cognition
• Applied mathematics
• Cognitive science
• Deep learning
• Semi-supervised learning
• Supervised learning
• Feature learning
• Artificial neural network
• Support vector machine
• Deep belief network
• Autoencoder

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 1 Codebook based Audio Feature Representation for Music Information Retrieval

Source URL: bmcfee.github.io

• Vectors
• Abstract algebra
• Linear algebra
• Vector quantization
• Representation theory of Lie groups
• Lie algebras
• Code
• K-means clustering
• Lasso
• Four-vector
• Euclidean vector
• Sparse approximation

LEARNING EFFICIENT REPRESENTATIONS FOR SEQUENCE RETRIEVAL Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel, LabROSA, Dept of Electrical Engineering, Columbia University

Source URL: colinraffel.com

• Machine learning
• Artificial intelligence
• Learning
• Statistics
• Dynamic programming
• Dynamic time warping
• Time series analysis
• Similarity measure
• Feature vector
• Yoshua Bengio
• Statistical classification
• Feature

Multi-Class Feature Selection with Support Vector Machines Olivier Chapelle∗ Abstract We consider feature selection in a multi-class setting where the goal is to find a small set of features for all the

Source URL: olivier.chapelle.cc

Distributed Representations of Sentences and Documents Quoc Le Tomas Mikolov Google Inc, 1600 Amphitheatre Parkway, Mountain View, CA 94043

Source URL: cs.stanford.edu

• Machine learning
• Artificial intelligence
• Artificial neural networks
• Learning
• Academia
• Natural language processing
• Language modeling
• Computational linguistics
• Word embedding
• Word2vec
• Feature learning
• Vector space model