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» Repairing Structurally Complex Data
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GIS
2008
ACM
13 years 10 months ago
Geographical analysis of hierarchical business structures by interactive drill down
This paper deals with the geographical analysis and visualization of network marketing. The aim of the study was to develop interactive visual methods, which help to answer questi...
Klaus Böhm, Eva Daub
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
PAMI
2010
124views more  PAMI 2010»
13 years 5 months ago
Structural Approach for Building Reconstruction from a Single DSM
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a li...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...
ICML
2009
IEEE
14 years 11 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
TIP
2011
123views more  TIP 2011»
13 years 5 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz