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» Comparison of two interactive search refinement techniques
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VRST
2010
ACM
14 years 7 months ago
Region-of-interest volumetric visual hull refinement
This paper introduces a region-of-interest visual hull refinement technique, based on flexible voxel grids for volumetric visual hull reconstructions. Region-of-interest refinemen...
Daniel Knoblauch, Falko Kuester
CHI
2008
ACM
15 years 10 months ago
FacetZoom: a continuous multi-scale widget for navigating hierarchical metadata
Faceted browsing is a promising way to incrementally refine data sets. Current approaches do not scale well in terms of screen size and have shortcomings in interacting with hiera...
Raimund Dachselt, Mathias Frisch, Markus Weiland
88
Voted
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 2 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
80
Voted
SPEECH
2008
203views more  SPEECH 2008»
14 years 9 months ago
A comparison of grapheme and phoneme-based units for Spanish spoken term detection
The ever-increasing volume of audio data available online through the world wide web means that automatic methods for indexing and search are becoming essential. Hidden Markov mod...
Javier Tejedor, Dong Wang, Joe Frankel, Simon King...
73
Voted
JAIR
2006
111views more  JAIR 2006»
14 years 9 months ago
Learning in Real-Time Search: A Unifying Framework
Real-time search methods are suited for tasks in which the agent is interacting with an initially unknown environment in real time. In such simultaneous planning and learning prob...
Vadim Bulitko, Greg Lee