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» Hierarchical Mixture Models for Nested Data Structures
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CVPR
2010
IEEE
14 years 2 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
ICPR
2008
IEEE
14 years 2 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
SIGMOD
2008
ACM
103views Database» more  SIGMOD 2008»
14 years 8 months ago
XArch: archiving scientific and reference data
Database archiving is important for the retrieval of old versions of a database and for temporal queries over the history of data. We demonstrate XArch, a management system for ma...
Heiko Müller, Ioannis Koltsidas, Peter Bunema...
CODES
2000
IEEE
14 years 26 days ago
Heterogeneous modeling and simulation of embedded systems in El Greco
This paper describes the functional specification and verification portions of El Greco, a system for high-level, heterogeneous functional specification, efficient compiled si...
Joseph Buck, Radha Vaidyanathan
PRICAI
2000
Springer
14 years 13 hour ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst