Sciweavers

1137 search results - page 37 / 228
» Objective Functions for Feature Discrimination
Sort
View
ICB
2007
Springer
176views Biometrics» more  ICB 2007»
14 years 2 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
CVPR
2007
IEEE
15 years 1 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis
CVPR
2003
IEEE
15 years 1 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik
ECOOP
2012
Springer
12 years 1 months ago
Evaluating the Design of the R Language - Objects and Functions for Data Analysis
R is a dynamic language for statistical computing that combines lazy functional features and object-oriented programming. This rather unlikely linguistic cocktail would probably ne...
Floréal Morandat, Brandon Hill, Leo Osvald,...
SOCO
2009
Springer
14 years 5 months ago
Feature (De)composition in Functional Programming
Abstract. The separation of concerns is a fundamental principle in software engineering. Crosscutting concerns are concerns that do not align with hierarchical and block decomposit...
Sven Apel, Christian Kästner, Armin Grö&...