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Small multiple

Known as: Small multiples, Panel chart, Lattice chart 
A small multiple (sometimes called trellis chart, lattice chart, grid chart, or panel chart) is a series of similar graphs or charts using the same… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Resonance in orbits of plane partitions and increasing tableaux
Highly Cited
2013
Highly Cited
2013
Evaluation of alternative glyph designs for time series data in a small multiple setting
We present the results of a controlled experiment to investigate the performance of different temporal glyph designs in a small… 
2013
2013
Bayesian Optimization With Censored Response Data
Bayesian optimization (BO) aims to minimize a given blackbox function using a model that is updated whenever new evidence about… 
Highly Cited
2013
Highly Cited
2013
Small Multiples, Large Singles: A New Approach for Visual Data Exploration
We present a novel visual exploration method based on small multiples and large singles for effective and efficient data analysis… 
Review
2012
Review
2012
MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data
Competitive intelligence is a systematic approach for gathering, analyzing, and managing information to make informed business… 
Highly Cited
2009
Highly Cited
2009
Max-margin additive classifiers for detection
We present methods for training high quality object detectors very quickly. The core contribution is a pair of fast training… 
Highly Cited
2007
Highly Cited
2007
Designing Visual Analytics Methods for Massive Collections of Movement Data
Exploration and analysis of large data sets cannot be carried out using purely visual means but require the involvement of… 
Highly Cited
2006
Highly Cited
2006
QUAD: A Practical Stream Cipher with Provable Security
We introduce a practical stream cipher with provable security named QUAD. The cipher relies on the iteration of a multivariate… 
Highly Cited
2003
Highly Cited
2003
Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals
Hybrid Monte Carlo (HMC) is often the method of choice for computing Bayesian integrals that are not analytically tractable… 
Highly Cited
1971
Highly Cited
1971
On Euclid's Algorithm and the Computation of Polynomial Greatest Common Divisors
This paper examines the computation of polynomial greatest common divisors by various generalizations of Euclid's algorithm. The… 
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