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» Fast Independent Component Analysis in Kernel Feature Spaces
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WWW
2009
ACM
14 years 8 months ago
Highly scalable web applications with zero-copy data transfer
The performance of server-side applications is becoming increasingly important as more applications exploit the Web application model. Extensive work has been done to improve the ...
Toyotaro Suzumura, Michiaki Tatsubori, Scott Trent...
29
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ICIP
2006
IEEE
14 years 9 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
TKDE
2008
141views more  TKDE 2008»
13 years 6 months ago
Location Fingerprinting In A Decorrelated Space
We present a novel approach to the problem of the indoor localization in wireless environments. The main contribution of this paper is four folds: (a) We show that, by projecting t...
Shih-Hau Fang, Tsung-Nan Lin, Po-Chiang Lin
NIPS
2003
13 years 8 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
SBACPAD
2006
IEEE
102views Hardware» more  SBACPAD 2006»
14 years 1 months ago
Ultra-Fast CPU Performance Prediction: Extending the Monte Carlo Approach
Performance evaluation of contemporary processors is becoming increasingly difficult due to the lack of proper frameworks. Traditionally, cycle-accurate simulators have been exte...
Ram Srinivasan, Jeanine Cook, Olaf M. Lubeck