1138 search results - page 66 / 228 » Feature Markov Decision Processes |
113
Voted
ICIAP
2009
ACM
16 years 1 months ago
2009
ACM
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
132
Voted
TIP
2008
15 years 1 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
121
Voted
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
111
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
104
Voted
STACS
1997
Springer
15 years 5 months ago
1997
Springer
Exotic semirings such as the “(max, +) semiring” (R ∪ {−∞}, max, +), or the “tropical semiring” (N ∪ {+∞}, min, +), have been invented and reinvented many times s...