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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
CVPR
2012
IEEE
11 years 9 months ago
Learning to localize detected objects
In this paper, we propose an approach to accurately localize detected objects. The goal is to predict which features pertain to the object and define the object extent with segme...
Qieyun Dai, Derek Hoiem
BMVC
2010
13 years 5 months ago
Weakly Supervised Object Recognition and Localization with Invariant High Order Features
High order features have been proposed to incorporate geometrical information into the "bag of feature" representation. We propose algorithms to perform fast weakly supe...
Yimeng Zhang, Tsuhan Chen
PG
2003
IEEE
14 years 21 days ago
Interactive Global and Local Deformations for Virtual Clay
Making virtual modeling as easy and intuitive as realclay manipulation is still an unsolved problem. This paper takes a step in this direction: in addition to offering standard fe...
Guillaume Dewaele, Marie-Paule Cani
SAC
1996
ACM
13 years 11 months ago
A genetic algorithm for the minimum broadcast time problem using a global precedence vector
The problem of broadcasting a message through a network is considered. The objective is to minimize the number of time steps necessary to complete the broadcast. This problem is k...
Cory J. Hoelting, Dale A. Schoenefeld, Roger L. Wa...