Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition Kihyuk Sohn Dae Yon Jung Honglak Lee Alfred O. Hero III

Source URL: web.eecs.umich.edu

DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION Yelin Kim, Honglak Lee, and Emily Mower Provost ∗ University of Michigan Electrical Engineering and Computer Science, Ann Arbor, Michigan,

Source URL: web.eecs.umich.edu

Video Shot Boundary Detection Using Visual Bag-of-Words Jukka Lankinen1 and Joni-Kristian K¨am¨ar¨ainen2 1 Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology (LUT Kouvola), Finlan

Source URL: personal.lut.fi

• Imaging
• Vision
• Shot transition detection
• Segmentation
• Color histogram
• Histogram
• Feature detection
• Codebook
• Code
• Computer vision
• Image processing
• Statistics

IEEE-28MSP01-Feature-TEMPLATE

Source URL: www.cs.toronto.edu

• Computational neuroscience
• Science
• Computational statistics
• Computational linguistics
• Hidden Markov model
• Boltzmann machine
• Speech recognition
• Artificial neural network
• Backpropagation
• Neural networks
• Statistics
• Machine learning

Snake Head Boundary Extraction using Global and Local Energy Minimisation Steve R. Gunn and Mark S. Nixon Image, Speech and Intelligent Systems Group Department of Electronics and Computer Science University of Southampt

Source URL: users.ecs.soton.ac.uk

• Artificial intelligence
• CONTOUR
• Feature extraction
• Facial recognition system
• Spaceflight
• Computer vision
• Spacecraft
• Active contour model

SMTC Proceedings Word Template (Rev 2004)— Title Times New Roman, Bold-face, 18-point and flush left

Source URL: www.senermar.es

• Application software
• Feature recognition
• ISO 10303
• Computer graphics
• Naval architecture
• Product lifecycle management
• 3D computer graphics
• ACIS
• Computer-aided design
• 3D graphics software
• Computer-aided engineering

Artificial Intelligence ELSEVIER Artificial

Source URL: ai.stanford.edu

• Machine learning
• Information science
• Dimension reduction
• Feature selection
• Model selection
• Supervised learning
• Pattern recognition
• Relevance
• Algorithm
• Science
• Statistics
• Knowledge

Local Learning to Improve Bag of Visual Words Model for Facial Expression Recognition Radu Tudor Ionescu Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, R

Source URL: deeplearning.net

• Computer vision
• Statistical classification
• Image processing
• Support vector machine
• K-nearest neighbor algorithm
• Pattern recognition
• Kernel methods
• Feature
• Object recognition
• Artificial intelligence
• Machine learning
• Algebra

Object Recognition and Segmentation by Non-Rigid Quasi-Dense Matching Juho Kannala, Esa Rahtu, Sami S. Brandt and Janne Heikkilä Machine Vision Group, University of Oulu, Finland {jkannala,erahtu,sbrandt,jth}@ee.oulu.fi

Source URL: www.ee.oulu.fi

• Vision
• Optics
• Segmentation
• Object recognition
• Region growing
• Triangulation
• Kadir–Brady saliency detector
• Scale-invariant feature transform
• Image processing
• Computer vision
• Imaging

D:/workspace/FIONA/Doc/Reviews/ICPRAM_2012/SenstUngerTU.dvi

Source URL: elvera.nue.tu-berlin.de

• Imaging
• Optics
• Maximally stable extremal regions
• SURF
• Corner detection
• Kanade–Lucas–Tomasi feature tracker
• Feature detection
• Object recognition
• Optical flow
• Computer vision
• Image processing
• Vision