Results 81 to 90 of about 3,985,830 (299)

Keypoint induced distance profiles for visual recognition

, 2009
We show that histograms of keypoint descriptor distances can make useful features for visual recognition. Descriptor distances are often exhaustively computed between sets of keypoints, but besides finding the k-smallest distances the structure of the ...
Tat-Jun Chin, null Tat-Jun Chin, D. Suter, Suter, D., Chin, T., David Suter   +5 more
core   +1 more source

The development of automated palmprint identification using major flexion creases [PDF]

, 2012
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyPalmar flexion crease matching is a method for verifying or establishing identity.
Cook, Thomas
core   +3 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Evaluating the impact of pattern recognition on AI skills development in universities

Frontiers in Education
Pattern recognition is a cornerstone of Artificial Intelligence (AI), shaping critical applications such as image analysis, speech processing, and automated decision-making.
Dinara Kazimova, Nurgul Serikbayeva, Gulfarida Samashova, Anatoly Zatyneyko, Botagoz Sarsenbayeva   +4 more
doaj   +1 more source

Towards the unification of structural and statistical pattern recognition

, 2012
Institute of Computer Science, Pattern Recognition Group (PRG)Emeriti, Faculty of ScienceInstitute of Computer ...
Bunke, Horst, Riesen, Kaspar
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Evolutionary transfer optimization-based approach for automated ictal pattern recognition using brain signals

Frontiers in Human Neuroscience
The visual scrutinization process for detecting epileptic seizures (ictal patterns) is time-consuming and prone to manual errors, which can have serious consequences, including drug abuse and life-threatening situations.
Piyush Swami, Piyush Swami, Piyush Swami, Jyoti Maheshwari, Mohit Kumar, Manvir Bhatia   +5 more
doaj   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Pattern recognition in industry /

, 2005
"Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and ...
Bhagat, Phiroz.
core  

Mid-level Deep Pattern Mining∗

, 2015
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discrimi-native. In this work, we study this problem from the prospec-tive of pattern mining while relying on the recently popular-ized ...
Anton Van Den Hengel, Lingqiao Liu, Van Den Hengel, A., Liu, L., Shen, C., Chunhua Shen, Li, Y., Yao Li   +7 more
core   +1 more source