Any Orthonormal Basis in High Dimension is Uniformly Distributed over the Sphere Sheldon Goldstein∗, Joel L. Lebowitz†, Roderich Tumulka‡, and Nino Zangh`ı§ October 27, 2015

Source URL: math.rutgers.edu

• Ergodic theory
• Mathematics
• Mathematical analysis
• Operator theory
• Linear algebra
• Quantum mechanics
• Stochastic processes
• Symbol
• Hilbert space
• Mixing
• Equidistributed sequence

PRUNING SUBSEQUENCE SEARCH WITH ATTENTION-BASED EMBEDDING Colin Raffel and Daniel P. W. Ellis LabROSA Columbia University New York, NY ABSTRACT

Source URL: colinraffel.com

• Artificial intelligence
• Learning
• Machine learning
• Artificial neural networks
• Dynamic programming
• Dynamic time warping
• Time series analysis
• Computational neuroscience
• Deep learning
• Speech recognition
• Word2vec
• Sequence alignment

Chapter 4 An Introduction to Hidden Markov Models for Biological Sequences by Anders Krogh Center for Biological Sequence Analysis Technical University of Denmark

Source URL: people.binf.ku.dk

800 TRANSACTIONS COMMUNICATIONS, IEEE ON

Source URL: www.ifp.illinois.edu

• Covariance and correlation
• Mathematical analysis
• Signal processing
• Statistics
• Time series analysis
• Probability
• Autocorrelation
• Correlation and dependence
• Maximum length sequence
• Correlation function
• Cross-correlation
• Sequence

BIOINFORMATICS ORIGINAL PAPER Vol. 21 no, pages 3832–3839 doi:bioinformatics/bti628

Source URL: www-stat.wharton.upenn.edu

• Bioinformatics
• Biology
• Genetics
• Biotechnology
• Ridge
• Cluster analysis
• Phylogenetic footprinting
• Sequence motif
• DNA binding site
• Hierarchical clustering
• Gene expression profiling
• K-means clustering

Accelerating Multimodal Sequence Retrieval with Convolutional Networks Daniel P. W. Ellis LabROSA Columbia University New York, NY 10027

Source URL: colinraffel.com

• Computing
• Dynamic programming
• Search algorithms
• Dynamic time warping
• Time series analysis
• Computational linguistics
• Information science
• Humancomputer interaction
• Speech recognition
• Hash function
• MIDI
• Deep learning

THE NUMBER OF GRAPHS AND A RANDOM GRAPH WITH A GIVEN DEGREE SEQUENCE Alexander Barvinok and J.A. Hartigan November 2011 Abstract. We consider the set of all graphs on n labeled vertices with prescribed

Source URL: www.math.lsa.umich.edu

• Mathematics
• Mathematical analysis
• Central limit theorem
• Regular graph
• Matrix
• Entropy
• Number theory
• Graph coloring
• Discriminant of an algebraic number field
• Differential forms on a Riemann surface

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

Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

Source URL: sas.uwaterloo.ca

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Algebra of random variables
• Probability theory
• Central limit theorem
• Variance
• Normal distribution
• Multivariate random variable
• Expected value
• Relationships among probability distributions

Gene finding: putting the parts together Anders Krogh Center for Biological Sequence Analysis Technical University of Denmark Building 206, 2800 Lyngby, Denmark

Source URL: people.binf.ku.dk