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» An fMRI Activation Method Using Complex Data
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TKDE
2008
125views more  TKDE 2008»
14 years 9 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
JCST
2010
122views more  JCST 2010»
14 years 8 months ago
Harmonic Field Based Volume Model Construction from Triangle Soup
Surface triangle meshes and volume data are two commonly used representations of digital geometry. Converting from triangle meshes to volume data is challenging, since triangle mes...
Chao-Hui Shen, Guo-Xin Zhang, Yu-Kun Lai, Shi-Min ...
ICCV
2011
IEEE
13 years 10 months ago
2D-3D Fusion for Layer Decomposition of Urban Facades
We present a method for fusing two acquisition modes, 2D photographs and 3D LiDAR scans, for depth-layer decomposition of urban facades. The two modes have complementary character...
Yangyan Li, Qian Zheng, Andrei Sharf, Daniel Cohen...
JFR
2006
140views more  JFR 2006»
14 years 9 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
TIP
2011
123views more  TIP 2011»
14 years 4 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