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Speech Recognition and Hidden Markov Models

Speech Recognition and Hidden Markov Models

Speech Recognition and Hidden Markov Models. CPSC4600@UTC/CSE. Hidden Markov models. Probability fundamentals Markov models Hidden Markov models Likelihood calculation. Probability fundamentals. Normalization discrete and continuous Independent events joint probability Dependent events

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1.05k views • 67 slides
The Social Web or how flickr changed my life

The Social Web or how flickr changed my life

The Social Web or how flickr changed my life. Kristina Lerman USC Information Sciences Institute http://www.isi.edu/~lerman. Web 1.0. Web 2.0. Elements of Social Web. Users contribute content

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702 views • 56 slides
Solid Wheel on Hard Surface

Solid Wheel on Hard Surface

Solid Wheel on Hard Surface. Va. v. W = Weight, static Wd = Weight, dynamic slr = Loaded radius, static rr = rolling radius rt = torque radius Vt = Velocity, theoretical Va = Velocity, actual T = axle torque GT = Gross Traction (theoretical pull)

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955 views • 49 slides
Pipeline Hazards

Pipeline Hazards

Pipeline Hazards. Pipeline hazards These are situations that inhibit that the next instruction can be processed in the next stage of the pipeline. This leads to an interrupt of the synchronous execution in the pipeline and thus to a performance decrease.

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650 views • 39 slides
SuperScalar Design Prime

SuperScalar Design Prime

SuperScalar Design Prime. Zhao Zhang CprE 381, Computer Organization and Assembly-Level Programming, Fall 2012 Original slides from CprE 581, Advanced Computer Architecture. History Superscalar Design. First appearance in 1960s Scoreboarding Tomasulo Algorithm

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482 views • 32 slides
Computer Architecture Advanced Branch Prediction

Computer Architecture Advanced Branch Prediction

Computer Architecture Advanced Branch Prediction. Lihu Rappoport and Adi Yoaz. Introduction. Need to predict: Conditional branch direction (taken or no taken) Actual direction is known only after execution Wrong direction prediction causes a full flush

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602 views • 32 slides
Dynamic Branch Prediction

Dynamic Branch Prediction

Dynamic Branch Prediction. Why does prediction work? Underlying algorithm has regularities Data that is being operated on has regularities Instruction sequence has redundancies that are artifacts of way that humans/compilers think about problems

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376 views • 20 slides
Evaluation of Dynamic Branch Prediction Schemes in a MIPS Pipeline

Evaluation of Dynamic Branch Prediction Schemes in a MIPS Pipeline

Evaluation of Dynamic Branch Prediction Schemes in a MIPS Pipeline. Debajit B h attacharya Ali JavadiAbhari. ELE 475 Final Project 9 th May, 2012. Outline. Motivation Branch Prediction Simulation Setup & Testing Methodology Dynamic Branch Prediction Single Bit Saturating Counter

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456 views • 19 slides
Providing a Freshman Seminar Course for Nontraditional Students

Providing a Freshman Seminar Course for Nontraditional Students

Providing a Freshman Seminar Course for Nontraditional Students. NACADA Region 10 Albuquerque, NM March 1, 2011. Presenter Introduction. Nontraditional student Single mom First generation Underprepared Graduated in 2007 Currently advisor for many nontraditional students.

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329 views • 18 slides

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