Recent advances on support vector machines research
Support vector machines (SVMs), with their roots in Statistical Learning Theory (SLT) and
optimization methods, have become powerful tools for problem solution in machine learning …
optimization methods, have become powerful tools for problem solution in machine learning …
Applications of support vector machines for pattern recognition: A survey
H Byun, SW Lee - International workshop on support vector machines, 2002 - Springer
In this paper, we present a comprehensive survey on applications of Support Vector
Machines (SVMs) for pattern recognition. Since SVMs show good generalization …
Machines (SVMs) for pattern recognition. Since SVMs show good generalization …
A survey on pattern recognition applications of support vector machines
H Byun, SW Lee - International Journal of Pattern Recognition and …, 2003 - World Scientific
In this paper, we present a survey on pattern recognition applications of Support Vector
Machines (SVMs). Since SVMs show good generalization performance on many real-life …
Machines (SVMs). Since SVMs show good generalization performance on many real-life …
A new algorithm for ball recognition using circle Hough transform and neural classifier
A large number of methods for circle detection have been studied in the last years for
several image processing applications. The context application considered in this work is …
several image processing applications. The context application considered in this work is …
Experimental study on controlling suspended cable-driven parallel robots for autonomous video-capturing of football games and obtaining the statistics of the games
This research explores the practical application of suspended cable-driven parallel robots
for autonomous video-capturing of football games, as well as obtaining the statistics of the …
for autonomous video-capturing of football games, as well as obtaining the statistics of the …
An integrated novel framework for co** missing values imputation and classification
M Jena, S Dehuri - IEEE Access, 2022 - ieeexplore.ieee.org
This work presents an integrated framework for imputation of missing values and prediction
of class label of unseen samples by using the best features of rule based inductive decision …
of class label of unseen samples by using the best features of rule based inductive decision …
Bayesian belief network based broadcast sports video indexing
MH Kolekar - Multimedia Tools and Applications, 2011 - Springer
This paper presents a probabilistic Bayesian belief network (BBN) method for automatic
indexing of excitement clips of sports video sequences. The excitement clips from sports …
indexing of excitement clips of sports video sequences. The excitement clips from sports …
[HTML][HTML] Semantic concept mining based on hierarchical event detection for soccer video indexing
Semantic Concept Mining Based on Hierarchical Event Detection for Soccer Video Indexing -
PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …
PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …
[PDF][PDF] Event detection based approach for soccer video summarization using machine learning
Many soccer fans prefer to watch a summary of football games as watching a whole soccer
match needs a lot of time. Traditionally, soccer videos were analyzed manually, however this …
match needs a lot of time. Traditionally, soccer videos were analyzed manually, however this …
Broiler chickens can benefit from machine learning: support vector machine analysis of observational epidemiological data
PJ Hepworth, AV Nefedov… - Journal of the Royal …, 2012 - royalsocietypublishing.org
Machine-learning algorithms pervade our daily lives. In epidemiology, supervised machine
learning has the potential for classification, diagnosis and risk factor identification. Here, we …
learning has the potential for classification, diagnosis and risk factor identification. Here, we …