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» A New Discriminative Kernel From Probabilistic Models
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AVSS
2006
IEEE
15 years 3 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
DAGM
2010
Springer
15 years 28 days ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 3 months ago
The topic-perspective model for social tagging systems
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Ti...
3DPVT
2004
IEEE
153views Visualization» more  3DPVT 2004»
15 years 3 months ago
Surface Reconstruction from the Projection of Points, Curves and Contours
In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model fro...
Jan Erik Solem, Fredrik Kahl
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
14 years 10 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...