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PAMI
2011
14 years 27 days ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
IBPRIA
2005
Springer
15 years 3 months ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
69
Voted
VLDB
1999
ACM
91views Database» more  VLDB 1999»
15 years 2 months ago
Probabilistic Optimization of Top N Queries
The problem of nding the best answers to a query quickly, rather than nding all answers, is of increasing importance as relational databases are applied in multimedia and decision...
Donko Donjerkovic, Raghu Ramakrishnan
ML
2008
ACM
100views Machine Learning» more  ML 2008»
14 years 10 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
15 years 11 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...