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IDA
1999
Springer
15 years 10 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley
ICCV
2007
IEEE
16 years 8 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
168
Voted
ICCV
2007
IEEE
16 years 8 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
171
Voted
NIPS
2004
15 years 7 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
ASWEC
2010
IEEE
15 years 6 months ago
Non-Monotonic Model Completion in Web Application Engineering
—Formal models are often used to verify systems and prove their correctness, and ensure that transformed models remain consistent to the original system. However, formal techniqu...
Jevon M. Wright, Jens Dietrich