Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak von Bryan, Oscar, Hansen, Roy Edgar, Haines, Tom S. F., Warakagoda, Narada, Hunter, Alan

Volltext

Background Subtraction with DirichletProcess Mixture Models von Haines, Tom S. F., Tao Xiang

Volltext

Instant Detection of Synthetic Cannabinoids on Physical Matrices, Implemented on a Low-Cost, Ultraportable Device von Cozier, Gyles E., Andrews, Rachael C., Frinculescu, Anca, Kumar, Ranjeet, May, Benedict, Tooth, Tom, Collins, Peter, Costello, Andrew, Haines, Tom S. F., Freeman, Tom P., Blagbrough, Ian S., Scott, Jennifer, Shine, Trevor, Sutcliffe, Oliver B., Husbands, Stephen M., Leach, Jonathan, Bowman, Richard W., Pudney, Christopher R.

Volltext

Background Subtraction with Dirichlet Process Mixture Models von HAINES, Tom S. F, TAO XIANG

Volltext

Active Rare Class Discovery and Classification Using Dirichlet Processes von Haines, Tom S. F., Xiang, Tao

Volltext

Dirichlet Process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations von Del Pozzo, W, Berry, C P L, Ghosh, A, Haines, T S F, Singer, L P, Vecchio, A

Volltext

Synthetic cannabinoid receptor agonists are monoamine oxidase‐A selective inhibitors von Hindson, Sarah A., Andrews, Rachael C., Danson, Michael J., Kamp, Marc W., Manley, Amy E., Sutcliffe, Oliver B., Haines, Tom S. F., Freeman, Tom P., Scott, Jennifer, Husbands, Stephen M., Blagbrough, Ian S., Anderson, J. L. Ross, Carbery, David R., Pudney, Christopher R.

Volltext

Photochemical Fingerprinting Is a Sensitive Probe for the Detection of Synthetic Cannabinoid Receptor Agonists; toward Robust Point-of-Care Detection von Andrews, Rachael C., May, Benedict, Hernández, Federico J., Cozier, Gyles E., Townsend, Piers A., Sutcliffe, Oliver B., Haines, Tom S. F., Freeman, Tom P., Scott, Jennifer, Husbands, Stephen M., Blagbrough, Ian S., Bowman, Richard W., Lewis, Simon E., Grayson, Matthew N., Crespo-Otero, Rachel, Carbery, David R., Pudney, Christopher R.

Volltext

Texture Stationarization: Turning Photos into Tileable Textures von Moritz, Joep, James, Stuart, Haines, Tom S.F., Ritschel, Tobias, Weyrich, Tim

Volltext

Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector von Haines, T. S. F., Tao Xiang

Volltext

My Text in Your Handwriting von Haines, Tom S. F., Mac Aodha, Oisin, Brostow, Gabriel J.

Volltext

Photochemical Fingerprinting Is a Sensitive Probe for the Detection of Synthetic Cannabinoid Receptor Agonists; Toward Robust Point-of-Care Detection von Andrews, Rachael, May, Benedict, Hernández, Frederico Javier, Townsend, Piers, Cozier, Gyles, Sutcliffe, Oliver B, Haines, Tom S. F., Freeman, Tom, Scott, Jenny, Husbands, Stephen, Blagbrough, Ian, Bowman, Richard, Lewis, Simon, Grayson, Matthew, Crespo-Otero, Rachel, Carbery, Dave, Pudney, Christopher

Volltext

Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study von Bryan, Oscar, Haines, Tom S. F., Hunter, Alan, Hansen, Roy Edgar, Warakagoda, Narada

Volltext

Active Rare Class Discovery and Classification Using Dirichlet Processes: Objects, Actions, Places von HAINES, Tom S. F, TAO XIANG

Volltext

Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study von Bryan, Oscar, Hunter, Alan J., Haines, Tom S. F., Hansen, Roy Edgar, Warakagoda, Narada

Volltext

Background Subtraction with Dirichlet Processes von Haines, Tom S. F., Xiang, Tao

Volltext

F. Raymond Keating, Jr., Memorial Symposium--hyperparathyroidism, 1970. Dedication von Haines, S F

Volltext

Hyperthyroidism and pregnancy von Mussey, Robert D., Haines, Samuel F., Ward, Emmerson

Volltext

Combining Probabilistic Shape-from-Shading and Statistical Facial Shape Models von Ahmad, Touqeer, Wilson, Richard C., Smith, William A. P., Haines, Tom S. F.

Volltext

THE USE OF IODINE IN RECURRENT EXOPHTHALMIC UOITER von Haines, S F

Volltext