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» Feature Selection via Mathematical Programming
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ICCV
2011
IEEE
12 years 11 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 3 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
ICSE
2012
IEEE-ACM
12 years 1 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 3 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
PPL
2002
108views more  PPL 2002»
13 years 10 months ago
An Efficient Implementation of the BSP Programming Library for VIA
Virtual Interface Architecture(VIA) is a light-weight protocol for protected user-level zero-copy communication. In spite of the promised high performance of VIA, previous MPI imp...
Yang-Suk Kee, Soonhoi Ha