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» Learning Generative Models with the Up-Propagation Algorithm
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SIGGRAPH
2003
ACM
15 years 2 months ago
TensorTextures
This paper introduces a tensor framework for image-based rendering. In particular, we develop an algorithm called TensorTextures that learns a parsimonious model of the bidirectio...
M. Alex O. Vasilescu, Demetri Terzopoulos
FASE
2008
Springer
14 years 11 months ago
Regular Inference for State Machines Using Domains with Equality Tests
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Therese Berg, Bengt Jonsson, Harald Raffelt
WWW
2008
ACM
15 years 10 months ago
As we may perceive: finding the boundaries of compound documents on the web
This paper considers the problem of identifying on the Web compound documents (cDocs) ? groups of web pages that in aggregate constitute semantically coherent information entities...
Pavel Dmitriev
DIS
2006
Springer
14 years 11 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
DIS
2001
Springer
15 years 2 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama