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ICIP
2008
IEEE
14 years 10 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
CVPR
2010
IEEE
14 years 4 months ago
Locality-constrained Linear Coding for Image Classification
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv
BMEI
2009
IEEE
13 years 9 months ago
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images
Cell enumeration in peripheral blood smears and cell are widely applied in biological and pathological practice. Not every area in the smear is appropriate for enumeration due to ...
Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim...
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
ICIP
2010
IEEE
13 years 6 months ago
Compact visual codebook for action recognition
Visual codebook has been popular in object classification as well as action analysis. However, its performance is often sensitive to the codebook size that is usually predefined. ...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...