712 search results - page 54 / 143 » Pruning Training Sets for Learning of Object Categories |
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
DAGM
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
IBPRIA
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
CLOR
2006
14 years 24 days ago
2006
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...