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KDD
2009
ACM
182views Data Mining» more  KDD 2009»
14 years 11 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
GD
1998
Springer
14 years 2 months ago
Balanced Aspect Ratio Trees and Their Use for Drawing Very Large Graphs
We describe a new approach for cluster-based drawing of very large graphs, which obtains clusters by using binary space partition (BSP) trees. We also introduce a novel BSP-type de...
Christian A. Duncan, Michael T. Goodrich, Stephen ...
PAKDD
2010
ACM
175views Data Mining» more  PAKDD 2010»
14 years 2 months ago
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
Abstract. We report a surprising, persistent pattern in large sparse social graphs, which we term EigenSpokes. We focus on large Mobile Call graphs, spanning about 186K nodes and m...
B. Aditya Prakash, Ashwin Sridharan, Mukund Seshad...
HHCI
2000
14 years 2 months ago
Haptic Graphs for Blind Computer Users
In this paper we discuss the design of computer-based haptic graphs for blind and visually impaired people with the support of our preliminary experimental results. Since visual i...
Wai Yu, Rameshsharma Ramloll, Stephen A. Brewster
IROS
2006
IEEE
171views Robotics» more  IROS 2006»
14 years 4 months ago
Fast central catadioptric line extraction, estimation, tracking and structure from motion
— In this paper we present an analysis of 3D line projections for central catadioptric cameras from a projective perspective. Most algorithms consider the projection of lines as ...
Christopher Mei, Ezio Malis