Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
  Browse All Reviews > General Literature (A) > Introductory And Survey (A.1)  
  1-10 of 537 Reviews about "Introductory And Survey (A.1)": Date Reviewed
  A survey on gait recognition
Wan C., Wang L., Phoha V.  ACM Computing Surveys 51(5): 1-35, 2018. Type: Article

Gait recognition is a biometric method that uses sensor data to recognize people based on body shape and walking styles. Gait data is acquired from video images, inertial sensors, or sensors in the environment. The possible uses are diagnostic, bu...

Jun 8 2021
  A survey of tool-supported assurance case assessment techniques
Maksimov M., Kokaly S., Chechik M.  ACM Computing Surveys 52(5): 1-34, 2019. Type: Article

Assurance case assessment techniques find application in the study of complex system reliability and safety, for example, nuclear reactors, energy systems, aircraft, and so on....

Mar 1 2021
  Quantum computing: survey and analysis
Savchuk M., Fesenko A.  Cybernetics and Systems Analysis 55(1): 10-21, 2019. Type: Article

With quantum supremacy allegedly having been achieved by Google, the need for short, correct, and accessible introductions into the quantum computing (QC) realm certainly is going to rise. Regrettably, this paper is an egregious failure in that re...

Aug 20 2020
  Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends
Schuller B.  Communications of the ACM 61(5): 90-99, 2018. Type: Article

The two decades referred to in the subtitle essentially span the time since the publication of Picard’s foundational Affective computing [1], which began the study of emotion recognition by computers. This paper can therefore be viewe...

Mar 18 2020
  Quantum computing for everyone
Bernhardt C.,  The MIT Press, Cambridge, MA, 2019. 216 pp. Type: Book (978-0-262039-25-3)

Ever wonder if there is a way to understand quantum computing using only a modest extension of high school mathematics (no complex numbers, no eigenvectors, no Fourier transform)? Look no further. Professor Chris Bernhardt introduces the main topi...

Feb 27 2020
  A survey on compiler autotuning using machine learning
Ashouri A., Killian W., Cavazos J., Palermo G., Silvano C.  ACM Computing Surveys 51(5): 1-42, 2019. Type: Article

Most modern compilers contain an optimization phase that tries to optimize the emitted machine code with respect to different objectives. Often this phase is heuristic, and the heuristics can usually be selected or influenced by programming flags....

Dec 31 2019
  Large-scale ontology matching: state-of-the-art analysis
Ochieng P., Kyanda S.  ACM Computing Surveys 51(4): 1-35, 2018. Type: Article

The ontology matching or alignment task identifies inconsistencies among concepts, relationships, and instances in two different ontologies and then resolves correspondence relationships. The authors present a survey of ontology matching technique...

Jan 25 2019
   A survey of methods for explaining black box models
Guidotti R., Monreale A., Ruggieri S., Turini F., Giannotti F., Pedreschi D.  ACM Computing Surveys 51(5): 1-42, 2019. Type: Article

Computerized decision support systems have significant social consequences, and yet they are capable of mistakes or bias. Can an autonomous driving system be trusted, for example, when its visual scene recognition was implemented as a neural netwo...

Jan 25 2019
  Triclustering algorithms for three-dimensional data analysis: a comprehensive survey
Henriques R., Madeira S.  ACM Computing Surveys 51(5): 1-43, 2018. Type: Article

The rapid increase in data streams poses significant challenges to their interpretation. Algorithms increasingly target 3D datasets, which plot observations, attributes, and contexts, to capture patterns in the fields of medicine and social networ...

Jan 18 2019
  Multimedia big data analytics: a survey
Pouyanfar S., Yang Y., Chen S., Shyu M., Iyengar S.  ACM Computing Surveys 51(1): 1-34, 2018. Type: Article

Big data continues to grow exponentially. One source of that growth--multimedia data--has not received comprehensive study. The authors correct this deficit by presenting the results of a broad multidimensional survey of the literature r...

Jan 16 2019
Display per page
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2021 ThinkLoud, Inc.
Terms of Use
| Privacy Policy