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IPMI
2011
Springer
13 years 2 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
JSAC
2011
144views more  JSAC 2011»
13 years 2 months ago
Time and Location-Critical Emergency Message Dissemination for Vehicular Ad-Hoc Networks
—One promise of Vehicular Ad-hoc Networks (VANET) is to considerably increase road safety and travel comfort by enabling inter-vehicle communications. Among a vast array of poten...
Yanyan Zhuang, Jianping Pan, Yuanqian Luo, Lin Cai

Publication
485views
12 years 12 months ago
Incremental Activity Modelling in Multiple Disjoint Cameras
Activity modelling and unusual event detection in a network of cameras is challenging particularly when the camera views are not overlapped. We show that it is possible to detect u...
Chen Change Loy, Tao Xiang, Shaogang Gong
ICCV
2011
IEEE
12 years 11 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
CCECE
2011
IEEE
12 years 11 months ago
Towards a portable, memory-efficient test system for Conducted Energy Weapons
We present a readily portable, memory-efficient performance test system (PTS) for Tasers. The proposed PTS has been developped for the most widely used Conducted Energy Weapons (...
Peyman Rahmati, David Dawson, Andy Adler