Results 51 to 60 of about 66,463 (260)

Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM [PDF]

, 2013
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known.
Almeida, Babacan, Besag, Bishop, Chao, Chenegros, Daubechies, Degen, Dobigeon, Figueiredo, Forbes, Forbes, Ge, Gilks, Kundur, Landweber, Makni, Makni, Mittelman, Nasios, Orieux, Park, Pillonetto, Robert, Rugar, Shan, Sidles, Sidles, Sidles, Themelis, Ting, Tzikas, Vincent, Walker, Wang, Ward, Winn, Züger, Züger, Züger   +39 more
core   +5 more sources

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

Inferring broken detailed balance in the absence of observable currents [PDF]

, 2019
Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. {In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate ...
Bisker, Gili, Horowitz, Jordan M., Martínez, Ignacio A., Parrondo, Juan M. R.   +3 more
core   +3 more sources

Deep Hidden Semi-Markov Model-Based Speech Synthesis

IEEE Access
This paper proposes a speech synthesis technique based on a neural sequence-to-sequence (Seq2Seq) model that incorporates the structure of hidden semi-Markov models (HSMMs).
Yoshihiko Nankaku, Takato Fujimoto, Takenori Yoshimura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda   +6 more
doaj   +1 more source

Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals

Complexity, 2018
We present a novel computational technique intended for the robust and adaptable control of a multifunctional prosthetic hand using multichannel surface electromyography.
Nebojša Malešević, Dimitrije Marković, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk   +5 more
doaj   +1 more source

Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

Peer Community Journal
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie   +8 more
doaj   +1 more source

Introduction to Hidden Semi-Markov Models

, 2018
The purpose of this volume is to present the theory of Markov and semi-Markov processes in a discrete-time, finite-state framework. Given this background, hidden versions of these processes are introduced and related estimation and filtering results developed. The approach is similar to the earlier book, Elliott et al. (1995).
John van der Hoek, Robert J. Elliott
openaire   +3 more sources

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model

Frontiers in Robotics and AI, 2019
Humans perceive continuous high-dimensional information by dividing it into meaningful segments, such as words and units of motion. We believe that such unsupervised segmentation is also important for robots to learn topics such as language and motion ...
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano   +6 more
doaj   +1 more source

Infinite Structured Hidden Semi-Markov Models

, 2014
23 pages, 10 ...
Huggins, Jonathan H., Wood, Frank
openaire   +2 more sources