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ICML
2003
IEEE
16 years 3 months ago
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
Lei Yu, Huan Liu
DSD
2004
IEEE
132views Hardware» more  DSD 2004»
15 years 6 months ago
Dynamic Filter Cache for Low Power Instruction Memory Hierarchy
Filter cache(FC) is effective in achieving energy saving at the expense of some performance degradation. The energy savings, here, comes from repeated execution of tiny loops from...
Kugan Vivekanandarajah, Thambipillai Srikanthan, S...
CVPR
2003
IEEE
16 years 5 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ICCV
2003
IEEE
16 years 5 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
AMDO
2010
Springer
15 years 1 months ago
Compatible Particles for Part-Based Tracking
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
Brais Martínez, Marc Vivet, Xavier Binefa