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» A Hierarchical Latent Variable Model for Data Visualization
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RECSYS
2010
ACM
13 years 7 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
CHI
2008
ACM
14 years 8 months ago
The effects of semantic grouping on visual search
This paper reports on work-in-progress to better understand how users visually interact with hierarchically organized semantic information. Experimental reaction time and eye move...
Tim Halverson, Anthony J. Hornof
BMCBI
2010
122views more  BMCBI 2010»
13 years 7 months ago
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional
Background: New technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data i...
Thomas M. Asbury, Matt Mitman, Jijun Tang, W. Jim ...
APVIS
2009
13 years 8 months ago
Visualizing diffusion tensor imaging data with merging ellipsoids
Diffusion tensor fields reveal the underlying anatomical structures in biological tissues such as neural fibers in the brain. Most current methods for visualizing the diffusion te...
Wei Chen, Song Zhang, Stephen Correia, David F. Ta...