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Near-optimal probabilistic search using spatial Fourier sparse set
Kuo Shih Tseng
, Bérénice Mettler
Department of Mathematics
Research output
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Contribution to journal
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Article
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peer-review
13
Scopus citations
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Dive into the research topics of 'Near-optimal probabilistic search using spatial Fourier sparse set'. Together they form a unique fingerprint.
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Keyphrases
Near-optimal
100%
Fourier
100%
Detection Probability
100%
Sparse Sets
100%
Probabilistic Search
100%
Detector Response
44%
Cost-to-go Function
33%
Subgoals
22%
Motion Cost
22%
Compressed Sensing
11%
Prior Learning
11%
Detection Problem
11%
Benchmark Model
11%
NP-hard
11%
Sensing Technique
11%
Learning Approaches
11%
Function-based
11%
Reinforcement Learning Algorithm
11%
Robotic Applications
11%
Submodularity
11%
Fourier Domain
11%
Autonomous Search
11%
Environmental Coverage
11%
Cumulative Probability
11%
Computer Science
Detection Function
100%
Robot
75%
Research Topic
25%
Objective Function
25%
Fourier Transform
25%
Learning Approach
25%
Reinforcement Learning
25%
Cumulative Probability
25%
Compressed Sensing
25%
Robotics Application
25%
Spatial Pattern
25%
Maximize Coverage
25%
Unsolved Problem
25%
Model Benchmark
25%
Engineering
Probability of Detection
100%
Robot
33%
Objective Function
11%
Learning Approach
11%
Sensing Mechanisms
11%
Conducted Experiment
11%
Reinforcement Learning
11%
Compressed Sensing
11%
Robotics Application
11%
Cumulative Probability
11%
Fourier Transform
11%