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IPMI
2005
Springer
15 years 12 months ago
Fundamental Limits in 3D Landmark Localization
This work analyses the accuracy of estimating the location of 3D landmarks and characteristic image structures. Based on nonlinear estimation theory we study the minimal stochastic...
Karl Rohr
WWW
2005
ACM
16 years 7 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 28 days ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
16 years 22 days ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan
PEWASUN
2007
ACM
15 years 7 months ago
Worst-case lifetime computation of a wireless sensor network by model-checking
Wireless Sensor Network (WSN) technology is now mature enough to be used in numerous application domains. However, due to the restricted amount of energy usually allocated to each...
Laurent Mounier, Ludovic Samper, Wassim Znaidi