The 2014 KIT IWSLT Speech-to-Text Systems for English, German and Italian Kevin Kilgour, Michael Heck, Markus M¨uller, Matthias Sperber, Sebastian St¨uker and Alex Waibel Institute for Anthropomatics Karlsruhe Institut

Source URL: isl.anthropomatik.kit.edu

• Computational linguistics
• Linguistics
• Language
• Artificial intelligence
• Speech recognition
• Speech synthesis
• CMU Pronouncing Dictionary
• Phoneme
• Machine translation
• N-gram
• Acoustic model
• Grapheme

LOCOCODE PERFORMS NONLINEAR ICA WITHOUT KNOWING THE NUMBER OF SOURCES Sepp Hochreiter Jurgen Schmidhuber

Source URL: www.bioinf.jku.at

• Statistics
• Artificial neural networks
• Multivariate statistics
• Applied mathematics
• Signal processing
• Machine learning
• Computational neuroscience
• Computational statistics
• Independent component analysis
• Factorial code
• Sepp Hochreiter
• Backpropagation

Microsoft Word - Security Practices for Households Bank Customers in the Kingdom of Saudi Arabia .doc

Source URL: www.usenix.org

• Economy
• Payment systems
• Embedded systems
• Business
• Geography of Asia
• E-commerce
• Online banking
• Bank
• Saudi Arabia
• Cash machine
• Debit card

Maverick 300 Variable-Speed Floor Machine For versatility in floor and carpet care, the Maverick 300 sets the standard for variable-speed floor machines. By dialing the appropriate speed, the Maverick 300 will polish, sp

Source URL: www.nss.com

Interview, published in: GIT SICHERHEIT + MANAGEMENT, WILEY-VCH The aim: safe machines Schmersal Group founds service division The Schmersal Group is bundling its comprehensive range of machine safety services bas

Source URL: www.schmersal.net

• Engineering
• Schmersal
• Technischer berwachungsverein
• Business
• Economy

IMPROVING SPEAKER DIARIZATION BY CROSS EM REFINEMENT Huazhong Ning Wei Xu, Yihong Gong Thomas Huang

Source URL: www.ifp.illinois.edu

• Statistics
• Machine learning
• Cluster analysis
• Artificial intelligence
• Data mining
• Geostatistics
• Hierarchical clustering
• Speaker diarisation
• Image segmentation
• Mixture model
• Expectationmaximization algorithm
• Determining the number of clusters in a data set

On the Modal Understanding of Triadic Contexts Frithjof Dau and Rudolf Wille Technische Universitat Darmstadt, Fachbereich Mathematik Schlogartenstr. 7, D{64289 Darmstadt, fdau,

Source URL: www.dr-dau.net

• Logic
• Mathematics
• Philosophy
• Lattice theory
• Data mining
• Formal concept analysis
• Machine learning
• Ontology
• Algebraic logic
• Boolean algebra
• Binary relation
• Modal logic

A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore

Source URL: ram-lab.com

• Computational neuroscience
• Artificial intelligence
• Cybernetics
• Neuroscience
• Artificial neural networks
• Formal sciences
• Machine learning
• Computer vision
• Convolutional neural network
• Deep learning
• Robotics
• Pattern recognition

Reclaiming the Machine: An Introductory Look at Steampunk in Everyday Practice Rebecca Onion (University of Texas at Austin, USA) Abstract: Steampunk, a multi-textual aesthetic which first began to form in the late 1980s

Source URL: www.rebeccaonion.com

• Fiction
• Science fiction
• Literature
• Steampunk
• Retro style
• Subcultures
• Art Nouveau
• Science fantasy
• Neo-Victorian
• Victoriana
• The Difference Engine
• Infernal Devices

Advances in the Minimization of Finite Sums Mark Schmidt Joint work with Nicolas Le Roux, Francis Bach, Reza Babanezhad and Mohamed Ahmed University of British Columbia Context: Minimizing Finite Sums

Source URL: www.proba.jussieu.fr

• Numerical analysis
• Numerical linear algebra
• Stochastic optimization
• Gradient descent
• Support vector machine
• Gradient method
• Operations research
• Mathematical optimization
• Stochastic gradient descent
• Stochastic approximation