Results 91 to 100 of about 241,041 (317)

Using features of local densities, statistics and HMM toolkit (HTK) for offline Arabic handwriting text recognition

Journal of Electrical Systems and Information Technology, 2017
This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham, Halli Akram, Satori Khalid   +2 more
doaj   +1 more source

A Markovian Model for Joint Observations, Bell's Inequality and Hidden States [PDF]

, 2012
While the standard approach to quantum systems studies length preserving linear transformations of wave functions, the Markov picture focuses on trace preserving operators on the space of Hermitian (self-adjoint) matrices. The Markov approach extends the
Faigle, Ulrich, Schönhuth, Alexander
core  

A Markov approach to credit rating migration conditional on economic states

Canadian Journal of Statistics, EarlyView.
Abstract We develop a model for credit rating migration that accounts for the impact of economic state fluctuations on default probabilities. The joint process for the economic state and the rating is modelled as a time‐homogeneous Markov chain. While the rating process itself possesses the Markov property only under restrictive conditions, methods ...
Michael Kalkbrener, Natalie Packham
wiley   +1 more source

Feature Fusion Based Audio-Visual Speaker Identification Using Hidden Markov Model under Different Lighting Variations [PDF]

, 2014
Md. Rabiul Islam, M. Abdus Sobhan
openalex   +1 more source

Twenty years of dynamic occupancy models: a review of applications and look to the future

Ecography, EarlyView.
Since their introduction over 20 years ago, dynamic occupancy models (DOMs) have become a powerful and flexible framework for estimating species occupancy across space and time while accounting for imperfect detection. As their popularity has increased and extensions have further expanded their capabilities, DOMs have been applied to increasingly ...
Saoirse Kelleher, Gurutzeta Guillera-Arroita, Jane Elith, Natalie J. Briscoe   +3 more
wiley   +1 more source

Application of Hidden Markov Model in Forecasting New Cases of Tuberculosis in Hamadan Province Based on the Recorded Cases during 2006-2016

مجله اپیدمیولوژی ایران, 2018
Background and Objectives: Tuberculosis is a chronic bacterial disease and a major cause of morbidity and mortality. It is caused by a Mycobacterium tuberculosis.
M Safari, M Sadeghifar, GH Roshanaei, A Zahiri   +3 more
doaj  

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition

International Journal of Distributed Sensor Networks, 2018
Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun, Keshav Thapa, M Humayun Kabir, Lee Hee-Chan   +3 more
doaj   +1 more source

Movement decisions reflect compromised statewide connectivity for mountain lions in California

Frontiers in Ecology and the Environment, EarlyView.
Human‐induced habitat fragmentation threatens connectivity for populations of wide‐ranging species by compromising long‐distance dispersal. We evaluated movement‐based resource selection of dispersing mountain lions (Puma concolor) to identify specific landscape conditions influencing movement decisions and connectivity between populations across the ...
Kyle D Dougherty, Justin A Dellinger, Bogdan Cristescu, Daniel J Gammons, David K Garcelon, J Mark Higley, Phillip Johnston, Quinton E Martins, John F Randolph, Seth PD Riley, Jeff A Sikich, Trish Smith, Thomas R Stephenson, T Winston Vickers, Greta M Wengert, Christopher C Wilmers, Heiko U Wittmer, John F Benson   +17 more
wiley   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, EarlyView.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Markov Observation Models and Deepfakes

Mathematics
Herein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj   +1 more source