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ECIR
2008
Springer
15 years 8 months ago
Probabilistic Document Length Priors for Language Models
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...
Roi Blanco, Alvaro Barreiro
CVPR
2008
IEEE
16 years 8 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 6 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
CVPR
2009
IEEE
16 years 1 months ago
Robust shadow and illumination estimation using a mixture model
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
Alexandros Panagopoulos, Dimitris Samaras, Nikos P...
CSFW
2004
IEEE
15 years 10 months ago
Symbolic Model Checking the Knowledge of the Dining Cryptographers
This paper describes how symbolic techniques (in particular, OBDD's) may be used to to implement an algorithm for model checking specifications in the logic of knowledge for ...
Ron van der Meyden, Kaile Su