Shobhit Zakhmi

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dblp:227/4350 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 2018

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval 1 paper		Information retrieval · 100%
Artificial intelligence 1 paper		Efficient and distributed learning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Information retrieval › similarity search › vector quantization multi-codebook quantization	0.3	1	2018	LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization · ECCV (16) 2018
Information retrieval › similarity search vector quantization	0.3	1	2018	LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization · ECCV (16) 2018
Machine learning › Efficient and distributed learning model compression	0.1	1	2018	LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization · ECCV (16) 2018

Methods — techniques the papers use, named apart from their topics

quantization · 0.7

Year	Publication	Venue	Position
2018	LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization Julieta Martinez 0001, Shobhit Zakhmi, Holger H. Hoos, James J. Little	ECCV (16)	2