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CVPR
2006
IEEE
16 years 27 days ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
KES
2005
Springer
16 years 9 days ago
Feature Generation by Simple FLD
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
Minoru Fukumi, Yasue Mitsukura
170
Voted
ECCV
2010
Springer
15 years 11 months ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
MVA
1994
15 years 8 months ago
A study of Joint Set Modeling Based on Edge-Base Stereo Matching
Modeling of 3-D Joint Set Interpretation In order to estimate rock joint parameters, such as strikes and dips which geologists often inspect on site andlor calculate through 3Djoin...
Takeshi Doihara, Tatsuo Ikeda, Kazuo Oda, Masahiro...
AAAI
1990
15 years 8 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan