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ICCV
2003
IEEE
16 years 9 months ago
Object Recognition with Informative Features and Linear Classification
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
Michel Vidal-Naquet, Shimon Ullman
ASWEC
2009
IEEE
16 years 2 months ago
A Comprehensive Feature-Oriented Traceability Model for Software Product Line Development
Feature-oriented traceability is essential for efficient Software Product Line (SPL) development, including product derivation and SPL evolution. Widely-used feature based method ...
Liwei Shen, Xin Peng, Wenyun Zhao
CGO
2009
IEEE
16 years 2 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
CVPR
2010
IEEE
16 years 1 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...