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» A General Method for Feature Matching and Model Extraction
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CVPR
2008
IEEE
15 years 10 months ago
Action recognition with motion-appearance vocabulary forest
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
Krystian Mikolajczyk, Hirofumi Uemura
144
Voted
AVBPA
2003
Springer
188views Biometrics» more  AVBPA 2003»
15 years 7 months ago
Gait Analysis for Human Identification
Abstract. Human gait is an attractive modality for recognizing people at a distance. In this paper we adopt an appearance-basedapproach to the problem of gait recognition. The widt...
Amit A. Kale, Naresh P. Cuntoor, B. Yegnanarayana,...
137
Voted
ICML
2010
IEEE
15 years 4 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
118
Voted
ICPR
2010
IEEE
15 years 7 months ago
Spatial Representation for Efficient Sequence Classification
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
Pavel Kuksa, Vladimir Pavlovic
125
Voted
GIS
2010
ACM
15 years 2 months ago
Efficiently locating photographs in many panoramas
We present a method for efficient and reliable geo-positioning of images. It relies on image-based matching of the query images onto a trellis of existing images that provides acc...
Michael Kroepfl, Yonatan Wexler, Eyal Ofek