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» Computing with abstract matrix structures
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ECCV
2008
Springer
16 years 5 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
ICPR
2008
IEEE
16 years 4 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
108
Voted
DCC
2009
IEEE
16 years 4 months ago
An Implementable Scheme for Universal Lossy Compression of Discrete Markov Sources
We present a new lossy compressor for discrete sources. For coding a source sequence xn , the encoder starts by assigning a certain cost to each reconstruction sequence. It then f...
Shirin Jalali, Andrea Montanari, Tsachy Weissman
119
Voted
DCC
2008
IEEE
16 years 3 months ago
Dimension Reduction and Expansion: Distributed Source Coding in a Noisy Environment
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
Anna N. Kim, Fredrik Hekland
136
Voted
WG
2005
Springer
15 years 9 months ago
Algebraic Operations on PQ Trees and Modular Decomposition Trees
Partitive set families are families of sets that can be quite large, but have a compact, recursive representation in the form of a tree. This tree is a common generalization of PQ...
Ross M. McConnell, Fabien de Montgolfier