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DAGM
2006
Springer
15 years 8 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
IR
2010
15 years 2 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
ESANN
2006
15 years 5 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
15 years 10 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes
SPLC
2010
15 years 2 months ago
Stratified Analytic Hierarchy Process: Prioritization and Selection of Software Features
Product line engineering allows for the rapid development of variants of a domain specific application by using a common set of reusable assets often known as core assets. Variabil...
Ebrahim Bagheri, Mohsen Asadi, Dragan Gasevic, Sam...