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IJCAI
2007
15 years 8 months ago
Graph-Based Semi-Supervised Learning as a Generative Model
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
Jingrui He, Jaime G. Carbonell, Yan Liu 0002
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 8 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
COMCOM
2006
154views more  COMCOM 2006»
15 years 6 months ago
Minimum-cost network hardening using attack graphs
In defending one's network against cyber attack, certain vulnerabilities may seem acceptable risks when considered in isolation. But an intruder can often infiltrate a seemin...
Lingyu Wang, Steven Noel, Sushil Jajodia
ICPR
2006
IEEE
16 years 7 months ago
Face Recognition by Expression-Driven Sketch Graph Matching
We present a novel face recognition method using automatically extracted sketch by a multi-layer grammatical face model. First, the observed face is parsed into a 3layer (face, pa...
Jiebo Luo, Zijian Xu
PAKDD
2010
ACM
175views Data Mining» more  PAKDD 2010»
15 years 10 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...