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118
Voted
EMMCVPR
2001
Springer
15 years 7 months ago
2001
Springer
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...
141
Voted
ICVS
1999
Springer
15 years 7 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
123
Voted
WG
1993
Springer
15 years 6 months ago
1993
Springer
Minimal perfect hash functions are used for memory efficient storage and fast retrieval of items from static sets. We present an infinite family of efficient and practical algori...
106
Voted
ICB
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity "template". The biometric data is...
86
Voted
AAAI
2010
15 years 4 months ago
2010
The results of the latest International Probabilistic Planning Competition (IPPC-2008) indicate that the presence of dead ends, states with no trajectory to the goal, makes MDPs h...