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» The 2005 PASCAL Visual Object Classes Challenge
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PAMI
2011
13 years 2 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
HAPTICS
2005
IEEE
14 years 1 months ago
Haptic Glyphs (Hlyphs) -- Structured Haptic Objects for Haptic Visualization
Haptic devices can be used to visualize information. As well as representing tangible surfaces and forces to enhance virtual training simulators for instance, haptic devices have ...
Jonathan C. Roberts, Keith M. Franklin
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
ICIP
2009
IEEE
13 years 5 months ago
Category sensitive codebook construction for object category recognition
Recently, the bag of visual words based image representation is getting popular in object category recognition. Since the codebook of the bag-of-words (BOW) based image representa...
Chunjie Zhang, Jing Liu, Yi Ouyang, Qi Tian, Hanqi...
CVPR
2009
IEEE
3784views Computer Vision» more  CVPR 2009»
15 years 2 months ago
What is the Spatial Extent of an Object?
This paper discusses the question: Can we improve the recognition of objects by using their spatial context? We start from Bag-of-Words models and use the Pascal 2007 dataset. We u...
Arnold W. M. Smeulders, Jasper R. R. Uijlings, Rem...