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» Graph-Theoretical Methods in Computer Vision
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CVPR
2010
IEEE
16 years 23 days ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao
ECCV
2010
Springer
16 years 19 days ago
ClassCut for Unsupervised Class Segmentation
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
ACCV
2009
Springer
16 years 2 days ago
Multilevel Algebraic Invariants Extraction by Incremental Fitting Scheme
Algebraic invariants extracted from coefficients of implicit polynomials (IPs) have been attractive because of its convenience for solving the recognition problem in computer visio...
Bo Zheng, Jun Takamatsu, Katsushi Ikeuchi
ACCV
1998
Springer
15 years 11 months ago
Appearance Based Visual Learning and Object Recognition with Illumination Invariance
This paper describes a method for recognizing partially occluded objects under different levels of illumination brightness by using the eigenspace analysis. In our previous work, w...
Kohtaro Ohba, Yoichi Sato, Katsushi Ikeuchi
ICPR
2010
IEEE
15 years 10 months ago
Cell Tracking in Video Microscopy Using Bipartite Graph Matching
Automated visual tracking of cells from video microscopy has many important biomedical applications. In this paper, we model the problem of cell tracking over pairs of video micro...
Ananda Chowdhury, Rohit Chatterjee, Mayukh Ghosh, ...