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NN
2008
Springer
201views Neural Networks» more  NN 2008»
14 years 10 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
TNN
2010
205views Management» more  TNN 2010»
14 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
2005
IEEE
14 years 12 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...
ICASSP
2011
IEEE
14 years 1 months ago
Analysis of human footsteps utilizing multi-axial seismic fusion
This paper introduces a method of enhancing an unattended ground sensor (UGS) system’s classification capability of humans via seismic signatures while subsequently discriminati...
Sean Schumer
ITNG
2007
IEEE
15 years 4 months ago
On Design and Analysis of a Feasible Network-on-Chip (NoC) Architecture
In this paper, we present several enhanced network techniques which are appropriate for VLSI implementation and have reduced complexity, high throughput, and simple routing algori...
Jun Ho Bahn, Seung Eun Lee, Nader Bagherzadeh