ACCELERATING MULTIMODAL SEQUENCE RETRIEVAL WITH CONVOLUTIONAL NETWORKS Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel () and Daniel P. W. Ellis (), L

Source URL: colinraffel.com

• Mathematics
• Geometry
• Search algorithms
• Dynamic programming
• Information science
• Dynamic time warping
• Time series analysis
• Hamming distance
• Sequence
• Hash function
• Pattern recognition

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li Mario Fritz Max Planck Institute for Informatics wenbinli,

Source URL: scalable.mpi-inf.mpg.de

• Computational neuroscience
• Artificial neural networks
• Computational statistics
• Computer vision
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Activity recognition

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

Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion Kaisheng Yao, Geoffrey Zweig Microsoft Research {kaisheny, gzweig}@microsoft.com

Source URL: research.microsoft.com

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• Long short-term memory
• Recurrent neural network
• Speech recognition
• Bidirectional recurrent neural networks
• Artificial intelligence
• Language model
• NETtalk
• Backpropagation through time

arXiv:1409.3215v1 [cs.CL] 10 SepSequence to Sequence Learning with Neural Networks Ilya Sutskever Google

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Machine learning
• Computational neuroscience
• Computational linguistics
• Cybernetics
• Artificial intelligence applications
• Computer-assisted translation
• Deep learning
• Long short-term memory
• Recurrent neural network
• Speech recognition

A Decision Tree Framework for Spatiotemporal Sequence Prediction Taehwan Kim Yisong Yue

Source URL: www.yisongyue.com

• Machine learning
• Conditional random field
• Structured prediction
• Hidden Markov model
• Artificial neural network
• Dynamic programming
• Decision tree learning
• Pattern recognition
• Recursion
• Supervised learning

brief communication published online: 15 may 2011 | doi: NChemBio.577 A universal code for RNA recognition by PUF proteins The design of proteins that can bind any RNA sequence of inte­ rest has many potential b

Source URL: www.glenresearch.com

Sequence to Sequence Learning with Neural Networks Ilya Sutskever Google

Source URL: papers.nips.cc

• Neuroscience
• Linguistics
• Machine translation
• Long short term memory
• Cognitive science
• Recurrent neural network
• Speech recognition
• Statistical machine translation
• Evaluation of machine translation
• Neural networks
• Science
• Computational neuroscience

2014 22nd International Conference on Pattern Recognition S-BLOSUM: classification of 2D shapes with biological sequence alignment Pietro Lovato∗ , Alessio Milanese† , Cesare Centomo† , Alejandro Giorgetti† , M

Source URL: profs.sci.univr.it

• Biology
• BLOSUM
• Substitution matrix
• Sequence alignment
• Smith–Waterman algorithm
• Multiple sequence alignment
• BLAST
• Nucleic acid sequence
• Matrix
• Bioinformatics
• Computational phylogenetics
• Science

Sequence Kernels for Speaker and Speech Recognition Mark Gales - work with Martin Layton, Chris Longworth, Federico Flego 8 JulyCambridge University Engineering Department

Source URL: mi.eng.cam.ac.uk