1138 search results - page 58 / 228 » Feature Markov Decision Processes |
103
click to vote
ICIP
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
117
Voted
ICMLC
2005
Springer
15 years 6 months ago
2005
Springer
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
122
click to vote
NLPRS
2001
Springer
15 years 5 months ago
2001
Springer
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
104
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
120
Voted
AAAI
2008
15 years 3 months ago
2008
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...