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» Learning from Highly Structured Data by Decomposition
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VLDB
2007
ACM
134views Database» more  VLDB 2007»
15 years 4 months ago
Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach
Structured community portals extract and integrate information from raw Web pages to present a unified view of entities and relationships in the community. In this paper we argue...
Pedro DeRose, Warren Shen, Fei Chen 0002, AnHai Do...
UAI
2000
14 years 11 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
CVPR
2010
IEEE
15 years 6 months ago
Estimating Camera Pose from a Single Urban Ground-View Omnidirectional Image and a 2D Building Outline Map
A framework is presented for estimating the pose of a camera based on images extracted from a single omnidirectional image of an urban scene, given a 2D map with building outlines...
Tat-Jen Cham, Ciptadi Arridhana, Wei-Chian Tan, Mi...
130
Voted
JMLR
2010
186views more  JMLR 2010»
14 years 5 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
84
Voted
ISCI
2007
170views more  ISCI 2007»
14 years 10 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke