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» Some Results on the Modelling of Spatial Data
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EMNLP
2008
13 years 10 months ago
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
Jianfeng Gao, Mark Johnson
ICCV
2003
IEEE
14 years 11 months ago
A Multi-scale Generative Model for Animate Shapes and Parts
This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple clo...
Aleksandr Dubinskiy, Song Chun Zhu
AIPR
2001
IEEE
14 years 18 days ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
DEXA
2000
Springer
147views Database» more  DEXA 2000»
14 years 1 months ago
Lattice-Structured Domains, Imperfect Data and Inductive Queries
The relational model, as proposed by Codd, contained the concept of relations as tables composed of tuples of single valued attributes taken from a domain. In most of the early lit...
Sally Rice, John F. Roddick
NECO
1998
168views more  NECO 1998»
13 years 8 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson