Journal ArticleDOI
Pattern Recognition and Machine Learning
TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
Citations
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Journal ArticleDOI
Adaptive foveated single-pixel imaging with dynamic supersampling
David B. Phillips,Ming-Jie Sun,Ming-Jie Sun,Jonathan M. Taylor,Matthew P. Edgar,Stephen M. Barnett,Graham M. Gibson,Miles J. Padgett +7 more
TL;DR: The methods described here complement existing compressive sensing approaches and may be applied to enhance computational imagers that rely on sequential correlation measurements, thereby helping to mitigate one of the main drawbacks of single-pixel imaging techniques.
Proceedings ArticleDOI
Diagnosing performance changes by comparing request flows
Raja R. Sambasivan,Alice X. Zheng,Michael De Rosa,Elie Krevat,Spencer Whitman,Michael Stroucken,William Yang Wang,Lianghong Xu,Gregory R. Ganger +8 more
TL;DR: A new technique for gaining insight into performance changes in a distributed storage service caused by code changes, configuration modifications, and component degradations is developed, demonstrating the value and efficacy of comparing request flows.
Journal ArticleDOI
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.
Yohannes Kassahun,Bingbin Yu,Abraham Temesgen Tibebu,Danail Stoyanov,Stamatia Giannarou,Jan Hendrik Metzen,Emmanuel Vander Poorten +6 more
TL;DR: The current role of machine learning techniques in the context of surgery with a focus on surgical robotics (SR) is reviewed and a perspective on the future possibilities for enhancing the effectiveness of procedures by integrating ML in the operating room is provided.
Journal ArticleDOI
Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
Veljko Pejovic,Mirco Musolesi +1 more
TL;DR: A survey of phenomena that mobile phones can infer and predict, and a description of machine learning techniques used for such predictions are presented, paving the way for full-fledged anticipatory mobile computing.
Journal ArticleDOI
Inverse statistical problems: from the inverse Ising problem to data science
TL;DR: This review focuses on the inverse Ising problem and closely related problems, namely how to infer the coupling strengths between spins given observed spin correlations, magnetizations, or other data.