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» Boruta - A System for Feature Selection
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SEUS
2007
IEEE
14 years 2 months ago
Transparent and Selective Real-Time Interrupt Services for Performance Improvement
The popularity of mobile and multimedia applications made real-time support a mandatory feature for embedded operating systems. However, the current situation is that the overall p...
Jinkyu Jeong, Euiseong Seo, Dongsung Kim, Jinsoo K...
AIR
2005
102views more  AIR 2005»
13 years 8 months ago
A Case-Based Explanation System for Black-Box Systems
Most users of machine-learning products are reluctant to use the systems without any sense of the underlying logic that has led to the system's predictions. Unfortunately many...
Conor Nugent, Padraig Cunningham
TRECVID
2007
13 years 9 months ago
ENST/UOB/LU@TRECVID2007 HIGH LEVEL FEATURE EXTRACTION USING 2-LEVEL PIECEWISE GMM
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
George Yazbek, Georges Kfoury, Gabriel Alam, Chafi...
FIW
2003
115views Communications» more  FIW 2003»
13 years 10 months ago
Generalising Feature Interactions in Email
We report on a property-based approach to feature interaction analysis for a client-server email system. The model is based upon Hall’s email model [12] presented at FIW’00 [3]...
Muffy Calder, Alice Miller
VIP
2003
13 years 10 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao