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JMLR
2010
112views more  JMLR 2010»
14 years 10 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
104
Voted
TACAS
2005
Springer
88views Algorithms» more  TACAS 2005»
15 years 9 months ago
Shortest Counterexamples for Symbolic Model Checking of LTL with Past
Shorter counterexamples are typically easier to understand. The length of a counterexample, as reported by a model checker, depends on both the algorithm used for state space explo...
Viktor Schuppan, Armin Biere
134
Voted
ICCAD
2010
IEEE
186views Hardware» more  ICCAD 2010»
15 years 1 months ago
Efficient state space exploration: Interleaving stateless and state-based model checking
State-based model checking methods comprise computing and storing reachable states, while stateless model checking methods directly reason about reachable paths using decision proc...
Malay K. Ganai, Chao Wang, Weihong Li
CVPR
2007
IEEE
16 years 5 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ACCV
2007
Springer
15 years 9 months ago
Learning Generative Models for Monocular Body Pose Estimation
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...