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CVPR
2010
IEEE
15 years 9 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
EMMCVPR
2001
Springer
15 years 8 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
144
Voted
ASE
2006
114views more  ASE 2006»
15 years 3 months ago
Explicit modeling of semantics associated with composite states in UML statecharts
: UML statecharts are used for describing dynamic aspects of system behavior. The work presented here extends a general Petri net-based methodology to support formal modeling of UM...
Zhaoxia Hu, Sol M. Shatz
134
Voted
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
15 years 1 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
124
Voted
ICPR
2006
IEEE
16 years 4 months ago
Activity Recognition from Silhouettes using Linear Systems and Model (In)validation Techniques
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process depar...
Roberto Lublinerman, Necmiye Ozay, Dimitrios Zarpa...