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CGF
2010
168views more  CGF 2010»
13 years 9 months ago
Modeling Complex Unfoliaged Trees from a Sparse Set of Images
We present a novel image-based technique for modeling complex unfoliaged trees. Existing tree modeling tools either require capturing a large number of views for dense 3D reconstr...
Luis D. Lopez, Yuanyuan Ding, Jingyi Yu
IPMI
2005
Springer
14 years 10 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
ALGOSENSORS
2007
Springer
14 years 3 months ago
Maximal Breach in Wireless Sensor Networks: Geometric Characterization and Algorithms
e for abstract modeling, algorithmic design and analysis to achieve provably efficient, scalable and fault-tolerant realizations of such huge, highly-dynamic, complex, non-conventi...
Anirvan DuttaGupta, Arijit Bishnu, Indranil Sengup...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
NIPS
2008
13 years 11 months ago
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
We propose a novel hierarchical, nonlinear model that predicts brain activity in area V1 evoked by natural images. In the study reported here brain activity was measured by means ...
Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas N...