Results 81 to 90 of about 137,057 (303)

A summary of the 2012 JHU CLSP Workshop on Zero Resource Speech Technologies and Models of Early Language Acquisition [PDF]

, 2013
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding zero resource (unsupervised) speech technologies and related models of early language acquisition.
Johnson, Mark, Balakrishnan Varadarajan, Ian McGraw, Sanjeev Khudanpur, Church, Kenneth, Florian Metze, Fourtassi, Abdallah, Naomi Feldman, Bennett, Erin, Pascal Clark, Hermansky, Hynek, Clark, Pascal, Thomas Schatz, Harwath, David, Norouzian, Atta, Peddinti, Vijay, Sharon Goldwater, Varadarajan, Balakrishnan, Emmanuel Dupoux, Kenneth Church, Benjamin Borschinger, Samuel Thomas, Chiu, Justin, Metze, Florian, David Harwath, Erin Bennett, Rachael Richardson, Aren Jansen, Abdellah Fourtassi, Mark Johnson, Ewan Dunbar, Khudanpur, Sanjeev, Dunbar, Ewan, Hynek Hermansky, Richardson, Rachel, Atta Norouzian, Schatz, Thomas, McGraw, Ian, Vijayaditya Peddinti, Richard Rose, Feldman, Naomi, Mike Seltzer, Dupoux, Emmanuel, Chia-ying Lee, Borschinger, Benjamin, Levin, Keith, Keith Levin, Thomas, Samuel, Justin Chiu, Rose, Richard, Jansen, Aren, Seltzer, Mike, Goldwater, Sharon; id_orcid, Lee, Chia-ying   +53 more
core   +1 more source

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

Improving morphology induction by learning spelling rules [PDF]

, 2009
Unsupervised learning of morphology is an important task for human learners and in natural language processing systems. Previous systems focus on segmenting words into substrings (taking ⇒ tak.ing), but sometimes a segmentation-only analysis is ...
Naradowski, Jason, Goldwater, Sharon; id_orcid   +1 more
core  

Unsupervised colour image segmentation using dual-tree complex wavelet transform [PDF]

, 2010
In this paper we present an effective unsupervised colour image segmentation algorithm which uses multiscale edge information and spatial colour content. The multiscale edge information is extracted using the dual-tree complex wavelet transform.
Tjahjadi, Tardi, Çelik, Turgay
core   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Adversarial Robustness on Image Classification With k-Means

IEEE Access
Attacks and defences in adversarial machine learning literature have primarily focused on supervised learning. However, it remains an open question whether existing methods and strategies can be adapted to unsupervised learning approaches.
Rollin Omari, Junae Kim, Paul Montague
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Statistical Models for Unsupervised Learning of Morphology and POS Tagging [PDF]

, 2011
This thesis concentrates on two fields in natural language processing. The main contribution of the thesis is in the field of morphology learning. Morphology is the study of how words are formed combining different language constituents (called morphemes)
Can, Burcu
core  

Learning by Unsupervised Nonlinear Diffusion

CoRR, 2018
40 Pages, 17 ...
Mauro Maggioni, James M. Murphy
openaire   +4 more sources