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A strategy is proposed for mining, browsing, and searching through documents consisting of text, images, and other modalities: A collection of documents is represented as a grid of keywords with varying font sizes that indicate the words’ weights. The grid is based on the counting-grid model so that each document matches in its word usage the word-weight distribution in some window in the grid. This strategy leads to denser packing and higher relatedness of nearby documents—documents that map to overlapping windows literally share the words found in the overlap. Smooth thematic shifts become evident in the grid, providing connections among distant topics and guiding the user’s attention in search for the spot of interest.
Author Information
Nebojsa Jojic (Microsoft Research)
Alessandro Perina (Microsoft Research)
Andrzej Truski (Microsoft Research)
More from the Same Authors
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2022 Poster: Diffusion Models as Plug-and-Play Priors »
Alexandros Graikos · Nikolay Malkin · Nebojsa Jojic · Dimitris Samaras -
2016 Poster: Iterative Refinement of the Approximate Posterior for Directed Belief Networks »
R Devon Hjelm · Russ Salakhutdinov · Kyunghyun Cho · Nebojsa Jojic · Vince Calhoun · Junyoung Chung -
2013 Poster: Documents as multiple overlapping windows into grids of counts »
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2013 Poster: A Comparative Framework for Preconditioned Lasso Algorithms »
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2010 Spotlight: Exact inference and learning for cumulative distribution functions on loopy graphs »
Jim C Huang · Nebojsa Jojic · Christopher Meek -
2010 Poster: Exact inference and learning for cumulative distribution functions on loopy graphs »
Jim C Huang · Nebojsa Jojic · Christopher Meek -
2010 Poster: Structural epitome: a way to summarize one’s visual experience »
Nebojsa Jojic · Alessandro Perina · Vittorio Murino -
2009 Poster: Free energy score space »
Alessandro Perina · Marco Cristani · Umberto Castellani · Vittorio Murino · Nebojsa Jojic