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Everything about Mean shift
Mathematical technique
Mean shift is a non-parametric feature-space mathematical analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Mean shiftA 5-minute orientation
- Skim a recent paper: Mean-shift exploration in shape assembly of robot swarmsInfluential work since 2022
- Pick up a classic book: ThailandThe most-reprinted book on the subject
- Read the landmark paper: Mean shift: a robust approach toward feature space analysisCited 9,225 times
- Go sideways: Kernel density estimationA closely related topic
- Go sideways: Kernel (statistics)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Mean shift: a robust approach toward feature space analysis
Mean shift, mode seeking, and clustering
Robust scale-adaptive mean-shift for tracking
Mean-shift outlier detection and filtering
Mean shift-based clustering
Nonlinear Mean Shift over Riemannian Manifolds
Mean shift is a bound optimization
Semi-Supervised Kernel Mean Shift Clustering
🆕 Influential since 2022
📚 Books worth reading
- 📕ThailandBenjamin Zawacki · 2017
- 📕Audience transformationsNico Carpentier, Kim Schrøder · 2013
Shifting Meaning of Legal Certainty in Comparative and Transnational LawMark Fenwick, Mathias Siems · 2017
Semantic LeapsSeana Coulson · 2001
The shiftWayne W. Dyer · 2010- 📕From Drift to ShiftJody B. Miller, Brad Feld · 2017
- 📕Mobility, Meaning and Transformations of ThingsHans Peter Hahn, Hadas Weis · 2013
Literacy and Language in East AsiaMarilyn Kell, Peter Kell · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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