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TRECVID
2008
13 years 9 months ago
Surveillance Event Detection
We have developed and evaluated three generalized systems for event detection. The first system is a simple brute force search method, where each space-time location in the video ...
Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangli...
CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 7 months ago
Mixing and non-mixing local minima of the entropy contrast for blind source separation
In this paper, both non-mixing and mixing local minima of the entropy are analyzed from the viewpoint of blind source separation (BSS); they correspond respectively to acceptable a...
Frédéric Vrins, Dinh-Tuan Pham, Mich...
BMCBI
2007
113views more  BMCBI 2007»
13 years 7 months ago
Learning biophysically-motivated parameters for alpha helix prediction
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
Blaise Gassend, Charles W. O'Donnell, William Thie...
TEC
2010
191views more  TEC 2010»
13 years 2 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...