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NIPS
2003
15 years 7 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
CCR
2011
15 years 17 days ago
Measured impact of crooked traceroute
Data collected using traceroute-based algorithms underpins research into the Internet’s router-level topology, though it is possible to infer false links from this data. One sou...
Matthew J. Luckie, Amogh Dhamdhere, kc claffy, Dav...
RECOMB
2004
Springer
16 years 5 months ago
Perfect phylogeny and haplotype assignment
This paper is concerned with the reconstruction of perfect phylogenies from binary character data with missing values, and related problems of inferring complete haplotypes from h...
Eran Halperin, Richard M. Karp
143
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PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
16 years 3 days ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
PAMI
2010
238views more  PAMI 2010»
15 years 4 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan