A Probabilistic Speech Recognition Framework Based on the Temporal Dynamics of Distinctive Feature Landmark Detectors A. Jansen∗ and P. Niyogi† July 4, 2007

Source URL: people.cs.uchicago.edu

UNSUPERVISED NEURAL NETWORK BASED FEATURE EXTRACTION USING WEAK TOP-DOWN CONSTRAINTS Herman Kamper1,2 , Micha Elsner3 , Aren Jansen4 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh,

Source URL: www.cstr.ed.ac.uk

• Machine learning
• Artificial neural networks
• Artificial intelligence
• Learning
• Applied mathematics
• Computational neuroscience
• Cybernetics
• Computational statistics
• Autoencoder
• Speech recognition
• Backpropagation
• Supervised learning

Articulatory Feature-based Methods for Acoustic and Audio-Visual Speech Recognition: 2006 JHU Summer Workshop Final Report1 Karen Livescu (), ¨ ur C Ozg¨

Source URL: ttic.uchicago.edu

Incorporating Acoustic Feature Diversity into the Linguistic Search Space for Syllable based Speech Recognition

Source URL: home.iitk.ac.in

Southeast Branch Library Donor Recognition Opportunities FEATURE Community Room

Source URL: www.sjplf.org

ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook

Source URL: intelligent-optimization.org

• Machine learning
• Model selection
• Learning
• Dimension reduction
• Feature selection
• Pattern recognition
• Roberto Battiti
• Feature
• Dimensionality reduction

ETHZ D-INFK Prof. Dr. B. Meyer, Dr. J. Shin Robotics Programming Laboratory – Assignments Fall 2013

Source URL: se.inf.ethz.ch

• Feature detection
• Vision
• Image segmentation
• Outline of object recognition
• Artificial intelligence
• Speeded up robust features
• Feature
• Light

Hierarchical Saliency Detection Qiong Yan Li Xu Jianping Shi Jiaya Jia The Chinese University of Hong Kong

Source URL: www.cse.cuhk.edu.hk

• Computer vision
• Vision
• Artificial intelligence
• Feature detection
• Attention
• Attention deficit hyperactivity disorder
• Neuropsychological assessment
• Image segmentation
• Watershed
• Conference on Computer Vision and Pattern Recognition
• Salience
• Video Sequences Saliency Map

Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks Karen Livescu, James Glass Jeff Bilmes

Source URL: ttic.uchicago.edu

Visual Speech Recognition with Loosely Synchronized Feature Streams Kate Saenko, Karen Livescu, Michael Siracusa, Kevin Wilson, James Glass, and Trevor Darrell Computer Science and Artificial Intelligence Laboratory Mass

Source URL: ttic.uchicago.edu