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» Objective Functions for Feature Discrimination
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WSOM
2009
Springer
15 years 7 months ago
Bag-of-Features Codebook Generation by Self-Organisation
Bag of features is a well established technique for the visual categorisation of objects, categories of objects and textures. One of the most important part of this technique is co...
Teemu Kinnunen, Joni-Kristian Kämärä...
140
Voted
ECOOP
1997
Springer
15 years 4 months ago
Feature-Oriented Programming: A Fresh Look at Objects
We propose a new model for exible composition of objects et of features. Features are similar to (abstract) subclasses, but only provide the core functionality of a (sub)class. Ove...
Christian Prehofer
120
Voted
CVPR
2009
IEEE
1119views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation
In this paper, a novel feature named Adaptive Contour Feature (ACF) is proposed for human detection and segmentation. This feature consists of a chain of a number of granules in...
Wei Gao (Tsinghua University), Haizhou Ai (Tsinghu...
121
Voted
ICCV
2011
IEEE
14 years 14 days ago
Learning a Category Independent Object Detection Cascade
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
Esa Rahtu, Juho Kannala, Matthew Blaschko
117
Voted
ECCV
2008
Springer
16 years 2 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...