H
Howard Schultz
Researcher at University of Massachusetts Amherst
Publications - 49
Citations - 1442
Howard Schultz is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Terrain & Wind wave. The author has an hindex of 20, co-authored 49 publications receiving 1357 citations. Previous affiliations of Howard Schultz include California Institute of Technology.
Papers
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Journal ArticleDOI
RAPID: Research on Automated Plankton Identification
Mark C. Benfield,Philippe Grosjean,Phil F. Culverhouse,Xabier Irigoien,Michael E. Sieracki,Ángel López-Urrutia,Hans G. Dam,Qiao Hu,Cabell S. Davis,Allen Hansen,Cynthia H. Pilskaln,Edward M. Riseman,Howard Schultz,Paul E. Utgoff,Gabriel Gorsky +14 more
TL;DR: The Oceanography 20, 2, 2 (2007): 172-187 as mentioned in this paper was published by Oceanography Society for personal use, not for redistribution, without permission of Oceanography society.
Book
Pour your heart into it : how Starbucks built a company one cup at a time
Howard Schultz,Dori Jones Yang +1 more
TL;DR: The success story of the Starbucks coffee company is one of the most amazing business stories in decades as mentioned in this paper, which started as a single store on Seattle's Main Street and became the world's largest coffee chain.
Journal ArticleDOI
Retrieval of short ocean wave slope using polarimetric imaging
Christopher J. Zappa,Michael L. Banner,Michael L. Banner,Howard Schultz,Andres Corrada-Emmanuel,Lawrence B Wolff,Jacob I. Yalcin +6 more
TL;DR: Polarimetric slope sensing (PSS) as mentioned in this paper uses the relationship between surface orientation and the change in polarization of reflected light to infer the instantaneous two-dimensional slope across the field-of-view of an imaging polarimeter.
Proceedings ArticleDOI
Automatic In Situ Identification of Plankton
Matthew B. Blaschko,G. Holness,Marwan Mattar,Dimitri A. Lisin,Paul E. Utgoff,Allen R. Hanson,Howard Schultz,Edward M. Riseman +7 more
TL;DR: A technique for automatic identification of plankton using a variety of features and classification methods including ensembles is presented, expecting that upon completion, the system will become a useful tool for marine biologists to assess the health of the world's oceans.
Journal ArticleDOI
Retrieving shape information from multiple images of a specular surface
TL;DR: To retrieve the shape of smooth specular surfaces, a technique known as specular surface stereo was developed that analyzes multiple images of a surface and finds a surface shape that results in a set of synthetic images that match the observed ones.