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» Sampling Methods for Unsupervised Learning
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CVPR
2007
IEEE
16 years 4 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
133
Voted
ICML
2005
IEEE
16 years 3 months ago
Learn to weight terms in information retrieval using category information
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Rong Jin, Joyce Y. Chai, Luo Si
116
Voted
IJCNN
2008
IEEE
15 years 9 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
137
Voted
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 6 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
120
Voted
IJCAI
2003
15 years 4 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...