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TNN
2010
205views Management» more  TNN 2010»
13 years 4 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
CVPR
2011
IEEE
13 years 1 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
INFOCOM
2011
IEEE
13 years 1 months ago
iLight: Indoor device-free passive tracking using wireless sensor networks
—Target tracking is a main application of wireless sensor networks (WSNs), and has been studied widely [4], [10]. In this work, we study indoor passive tracking problem using WSN...
XuFei Mao, ShaoJie Tang, XiaoHua Xu, Xiang-Yang Li...
AGI
2011
13 years 28 days ago
Learning Problem Solving Skills from Demonstration: An Architectural Approach
We present an architectural approach to learning problem solving skills from demonstration, using internal models to represent problem-solving operational knowledge. Internal forwa...
Haris Dindo, Antonio Chella, Giuseppe La Tona, Mon...
MDM
2009
Springer
299views Communications» more  MDM 2009»
14 years 3 months ago
Aggregate Location Monitoring for Wireless Sensor Networks: A Histogram-Based Approach
Location monitoring systems are used to detect human activities and provide monitoring services, e.g., aggregate queries. In this paper, we consider an aggregate location monitori...
Chi-Yin Chow, Mohamed F. Mokbel, Tian He