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» Knowledge Extraction from Local Function Networks
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CHI
2011
ACM
13 years 15 days ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
CVPR
2005
IEEE
14 years 11 months ago
Tangent-Corrected Embedding
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale ...
CN
2008
127views more  CN 2008»
13 years 9 months ago
Decentralized detection of global threshold crossings using aggregation trees
The timely detection that a monitored variable has crossed a given threshold is a fundamental requirement for many network management applications. A challenge is the detection of ...
Fetahi Wuhib, Mads Dam, Rolf Stadler
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 8 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
TMI
2008
149views more  TMI 2008»
13 years 8 months ago
Shape-Driven Three-Dimensional Watersnake Segmentation of Biological Membranes in Electron Tomography
Abstract--Due to the significant complexity of membrane morphology and the generally poor image quality in electron tomographic volumes, current automatic methods for segmentation ...
Hieu Tat Nguyen, Qiang Ji