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» Hilbert Space Embeddings of Hidden Markov Models
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ICIP
2006
IEEE
14 years 9 months ago
Detection of Drivable Corridors for Off-Road Autonomous Navigation
This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hid...
Ara V. Nefian, Gary R. Bradski
CIKM
2008
Springer
13 years 10 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
NETWORKING
2004
13 years 9 months ago
Modeling the Short-Term Unfairness of IEEE 802.11 in Presence of Hidden Terminals
: IEEE 802.11 exhibits both short-term and long-term unfairness [15]. The short-term fairness automatically gives rise to long-term fairness, but not vice versa [11]. When we thoro...
Zhifei Li, Sukumar Nandi, Anil K. Gupta
BMCBI
2005
108views more  BMCBI 2005»
13 years 8 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
AAAI
2000
13 years 9 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum