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» Hierarchical Mixture Models for Nested Data Structures
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CVPR
2010
IEEE
15 years 5 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
15 years 6 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»
15 years 11 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
15 years 4 months 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
15 years 3 months 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