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PAAPP
2007
112views more  PAAPP 2007»
14 years 9 months ago
A study on video viewing behavior: application to movie trailer miner
In this paper, we present a study on video viewing behavior. Based on a well-suited Markovian model, we have developed a clustering algorithm called K-Models and inspired by the K...
Sylvain Mongy
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
14 years 11 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
ACL
2010
14 years 8 months ago
Unsupervised Event Coreference Resolution with Rich Linguistic Features
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering c...
Cosmin Adrian Bejan, Sanda M. Harabagiu
BMCBI
2008
140views more  BMCBI 2008»
14 years 10 months ago
FUNYBASE: a FUNgal phYlogenomic dataBASE
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
Sylvain Marthey, Gabriela Aguileta, Françoi...
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 4 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...