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CVPR
2006
IEEE
15 years 3 months ago
Active Graph Cuts
This paper adds a number of novel concepts into global s/t cut methods improving their efficiency and making them relevant for a wider class of applications in vision where algor...
Olivier Juan, Yuri Boykov
ICARCV
2006
IEEE
126views Robotics» more  ICARCV 2006»
15 years 3 months ago
Improvement to the Minimization of Hybrid Error Functions for Pose Alignment
— Many problems in computer vision such as pose recovery and structure estimation are formulated as a minimization process. These problems vary in the use of image measurements d...
A. H. Abdul Hafez, C. V. Jawahar
MS
2003
14 years 11 months ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
RECSYS
2009
ACM
15 years 4 months ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin