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Bian Zhaoqi

dblp:88/2327 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author

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.

Artificial intelligence
1 paper
Segmentation and scene understanding · 50% 3D vision · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
low-level vision
0.011989
Can Early Stage Vision Detect Topology · IJCAI 1989
Computer vision › Segmentation and scene understanding
scene understanding
0.011989
Can Early Stage Vision Detect Topology · IJCAI 1989
YearPublicationVenuePosition
1990 A new class of Lp correlation functions and its applications to seismic signal application
abstract
A certain class of L/sub p/ correlation functions is defined, and its properties are presented. It offers an approach to characterize the features of the waveforms from the correlation function. By adjusting the real value p, the role of sample points can be emphasized with different magnitudes in the correlation computation. The L/sub 1/ correlation function implies the phase information of the waveforms and has an additional advantage in computational complexity. Experiments on applications to time-delay estimation, and seismic signal processing demonstrate the great potential use and effectiveness of the L/sub 1/ correlation function.>
Bian Zhaoqi, Jinyan Chan, Fan Gin
ICPR (2)1
1989 Can Early Stage Vision Detect Topology
Lifu Liu, Nanyuan Zhao, Bian Zhaoqi
IJCAI3