616 search results - page 58 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
111
click to vote
SIGIR
2005
ACM
15 years 7 months ago
2005
ACM
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
139
click to vote
ECML
2005
Springer
15 years 7 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
ICMCS
2009
IEEE
14 years 11 months ago
2009
IEEE
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
133
click to vote
ICIP
2003
IEEE
16 years 3 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
112
click to vote
AVSS
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...