David Donoho
E406737
David Donoho is an American mathematician renowned for his foundational contributions to statistics, signal processing, and compressed sensing.
All labels observed (3)
| Label | Occurrences |
|---|---|
| David Donoho canonical | 2 |
| David L. Donoho | 1 |
| Donoho | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4019979 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Donoho Context triple: [Norbert Wiener Prize in Applied Mathematics, notableLaureate, David Donoho]
-
A.
Ingrid Daubechies
Ingrid Daubechies is a Belgian physicist and mathematician renowned for her pioneering work in wavelet theory and its applications to signal processing, image compression, and data analysis.
-
B.
Alan S. Willsky
Alan S. Willsky is an American electrical engineer and MIT professor emeritus renowned for his contributions to statistical signal processing and control theory.
-
C.
David Slepian
David Slepian was an American mathematician and electrical engineer known for his influential work in information theory and communications, including the development of the Slepian–Wolf coding theorem.
-
D.
Stephen Boyd
Stephen Boyd was an Irish-born actor best known for his Golden Globe–winning role as Messala in the 1959 epic film "Ben-Hur."
-
E.
Jonathon Shlens
Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Donoho Target entity description: David Donoho is an American mathematician renowned for his foundational contributions to statistics, signal processing, and compressed sensing.
-
A.
Ingrid Daubechies
Ingrid Daubechies is a Belgian physicist and mathematician renowned for her pioneering work in wavelet theory and its applications to signal processing, image compression, and data analysis.
-
B.
Alan S. Willsky
Alan S. Willsky is an American electrical engineer and MIT professor emeritus renowned for his contributions to statistical signal processing and control theory.
-
C.
David Slepian
David Slepian was an American mathematician and electrical engineer known for his influential work in information theory and communications, including the development of the Slepian–Wolf coding theorem.
-
D.
Stephen Boyd
Stephen Boyd was an Irish-born actor best known for his Golden Globe–winning role as Messala in the 1959 epic film "Ben-Hur."
-
E.
Jonathon Shlens
Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
mathematician ⓘ statistician ⓘ university professor ⓘ |
| academicAdvisor | Peter J. Huber NERFINISHED ⓘ |
| awardReceived |
COPSS Presidents' Award
ⓘ
linked to:
COPSS Award
Gauss Prize ⓘ
linked to:
Carl Friedrich Gauss Prize
IEEE Jack S. Kilby Signal Processing Medal ⓘ MacArthur Fellowship ⓘ SIAM John von Neumann Lecture Prize ⓘ
linked to:
John von Neumann Lecture Prize
Shaw Prize in Mathematical Sciences ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt |
Harvard University
ⓘ
Princeton University ⓘ |
| employer | Stanford University ⓘ |
| familyName |
Donoho
ⓘ
linked to:
David Donoho
|
| fieldOfWork |
applied mathematics
ⓘ
compressed sensing ⓘ harmonic analysis ⓘ mathematics ⓘ signal processing ⓘ statistics ⓘ |
| gender | male ⓘ |
| givenName | David ⓘ |
| hasResearchInterest |
data science
ⓘ
geometric functional analysis ⓘ high-dimensional statistics ⓘ inverse problems ⓘ sparse approximation ⓘ |
| knownFor |
compressed sensing
ⓘ
curvelets ⓘ robust statistics ⓘ sparse signal recovery ⓘ statistical estimation theory ⓘ wavelet-based denoising ⓘ |
| languageOfWorkOrName | English ⓘ |
| memberOf |
American Academy of Arts and Sciences
ⓘ
National Academy of Sciences ⓘ |
| name | David Donoho ⓘ |
| notableWork |
basis pursuit for sparse representation
ⓘ
development of compressed sensing theory ⓘ wavelet shrinkage methods for denoising ⓘ |
| occupation | professor of statistics ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: David Donoho Description of subject: David Donoho is an American mathematician renowned for his foundational contributions to statistics, signal processing, and compressed sensing.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: David Donoho
linked to: David Donoho