Improved Generative Models for Continuous Image Features through Tree-structured Non-parametric Distributions Marwan A. Mattar Erik G. Learned-Miller

Source URL: vis-www.cs.umass.edu

• Statistical inference
• Statistical theory
• Machine learning
• Kullback–Leibler divergence
• Naive Bayes classifier
• Bayesian network
• Mixture model
• Maximum likelihood
• Normal distribution
• Statistics
• Statistical models
• Bayesian statistics

Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments Gary B. Huang1 , Marwan Mattar1 , Tamara Berg2 , and Erik Learned-Miller1 1

Source URL: vis-www.cs.umass.edu

• Image processing
• Face Recognition Grand Challenge
• FERET
• Facial recognition system
• Face detection
• Standard test image
• Segmentation
• Computer vision
• Face recognition
• Biometrics

Learning to Align from Scratch Gary B. Huang1 Marwan A. Mattar1 Honglak Lee2 Erik Learned-Miller1 1 University of Massachusetts, Amherst, MA

Source URL: vis-www.cs.umass.edu

• Learning
• Pattern recognition
• Object recognition
• Supervised learning
• Unsupervised learning
• Semi-supervised learning
• Support vector machine
• One-shot learning
• Machine learning
• Artificial intelligence
• Statistics

Sign Classification using Local and Meta-Features Marwan A. Mattar, Allen R. Hanson, and Erik G. Learned-Miller Computer Vision Laboratory Department of Computer Science University of Massachusetts Amherst, MA[removed]USA

Source URL: vis-www.cs.umass.edu

• Artificial intelligence
• Object recognition
• Shape context
• Feature
• Statistical classification
• Scale-invariant feature transform
• Boosting methods for object categorization
• Computer vision
• Vision
• Imaging

Combining Local and Global Image Features for Object Class Recognition Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Mark C. Benfield , Erik G. Learned-Miller

Source URL: vis-www.cs.umass.edu

• Statistical classification
• Parts of speech
• Classifier
• Unified Modeling Language
• Support vector machine
• Learning classifier system
• Ensemble learning
• Boosting methods for object categorization
• Random subspace method
• Statistics
• Machine learning
• Artificial intelligence

Fall 2013 Running a Successful Department It has been a year since Professor Marwan Hassan took up the reins as Department Head of Geography. In his next two years, Professor Hassan hopes to make Geography the benchmark

Source URL: www.geog.ubc.ca

• Vancouverism
• Education
• Academia
• Higher education
• Association of Commonwealth Universities
• Association of Pacific Rim Universities
• University of British Columbia

Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics Marwan A. Mattar Allen R. Hanson Department of Computer Science

Source URL: vis-www.cs.umass.edu

• Cluster analysis
• Statistical models
• K-means clustering
• Mixture model
• Expectation–maximization algorithm
• Dirichlet process
• Chinese restaurant process
• Pattern recognition
• Normal distribution
• Statistics
• Machine learning
• Stochastic processes

Des nouvelles du centre-ville Avril 2014 La Galerie d’art Marwan, maintenant située dans le local voisin (30, rue des Forges),

Source URL: www.sdctr.qc.ca

Matching of Ground-Based LiDAR and Aerial Image Data For Mobile Robot Localization in Densely Forested Environments Marwan Hussein, Matthew Renner, Masaaki Watanabe and Karl Iagnemma Abstract— We present a vision-based

Source URL: web.mit.edu

• Surveying
• Geography
• Science
• Computer vision
• Measurement
• LIDAR
• Simultaneous localization and mapping
• Photogrammetry
• Remote sensing
• Technology
• Cartography
• Geodesy

Chapter 1 West Africa staple food systems: An overview of trends and indicators of demand, supply, and trade* Aziz ELBEHRI, Jonathan KAMINSKI, Suffyan KOROMA, Massimo IAFRATE, and Marwan BENALI 1

Source URL: www.fao.org

• Agriculture
• Jamaican cuisine
• Staple foods
• Cereals
• Nigerian cuisine
• World food price crisis
• Cassava
• Rice
• Millet
• Food and drink
• Tropical agriculture
• Cuisine