Filters








904 Hits in 4.4 sec

A semisupervised learning method to merge search engine results

Luo Si, Jamie Callan
2003 ACM Transactions on Information Systems  
This article presents a semisupervised learning solution to the result merging problem.  ...  An extensive set of experiments demonstrates that this method is more effective than the well-known CORI result-merging algorithm under a variety of conditions.  ...  used to merge results instead of the semisupervised learning method.  ... 
doi:10.1145/944012.944017 fatcat:6qx2lbb7p5dlljqndio2tzkzq4

A Comprehensive Overview of Clustering Algorithms in Pattern Recognition

Namratha M
2012 IOSR Journal of Computer Engineering  
Based on the learning method used to generate the output we have the following classification, supervised and unsupervised learning.  ...  In machine learning, pattern recognition assigns input value to given set of data labels.  ...  Four types of semisupervised learning are: a. Deep learning b. Low density separation c. Graph based methods d.  ... 
doi:10.9790/0661-0462330 fatcat:3p32rwovgrbt7lt6mlzyrjvydm

Cell Detection Using Extremal Regions in a Semisupervised Learning Framework

Nisha Ramesh, Ting Liu, Tolga Tasdizen
2017 Journal of Healthcare Engineering  
This paper discusses an algorithm to build a semisupervised learning framework for detecting cells.  ...  We propose a semisupervised approach to reduce this burden. The set of extremal regions is generated using a maximally stable extremal region (MSER) detector.  ...  The framework in [4] tries to learn the probability of merging/splitting regions in a hierarchical tree structure, whereas we learn a classifier to predict the probability of a region representing a  ... 
doi:10.1155/2017/4080874 pmid:29065596 pmcid:PMC5488495 fatcat:6pbdtaes3rdp7ceev4m6e2brye

Semisupervised SVM by Hybrid Whale Optimization Algorithm and Its Application in Oil Layer Recognition

Yong-ke Pan, Ke-wen Xia, Wen-jia Niu, Zi-ping He, David Bigaud
2021 Mathematical Problems in Engineering  
The semisupervised support vector machine (S3VM) is the most useful method in semisupervised learning.  ...  Therefore, it is necessary to use semisupervised learning to obtain accurate classification with limited labeled data and many unlabeled data.  ...  S3VM method is widely used among the above semisupervised learning methods. e semisupervised SVM applies to text categorization.  ... 
doi:10.1155/2021/5289038 fatcat:oxwoz2zikjdetgeilijwcnyeaa

Novel semisupervised high-dimensional correspondences learning method

Chenping Hou
2008 Optical Engineering: The Journal of SPIE  
To match two high-dimensional data sets with a certain number of aligned training examples, a novel semisupervised method is proposed.  ...  We have modified MVU to a semi-supervised version to solve the correspondence problem.  ...  Acknowledgments We would like to thank the two anonymous reviewers and Jiejun Lu for their suggestions in improving the quality of this paper! We also thank Kilian Q.  ... 
doi:10.1117/1.2903093 fatcat:kbu2mxafgjgjnfsm2ndnnaal3m

Semisupervised Classification with High-Order Graph Learning Attention Neural Network

Wu-Lue Yang, Xiao-Ze Chen, Xu-Hua Yang, Jude Hemanth
2021 Mathematical Problems in Engineering  
On 5 real data sets, by comparing 8 classification methods, the experiment shows that HGLAT has achieved good classification results on both a data set with graph structure and a data set without graph  ...  Therefore, in this paper, we propose a high-order graph learning attention neural network (HGLAT) for semisupervised classification.  ...  data sets, Citeseer and Cora results are not good, and semisupervised learning methods LP and SemiEmb have not obtained better results than supervised machine learning methods. ird, the results of kNN-GCN  ... 
doi:10.1155/2021/3911137 fatcat:xrymtbbacrh3di7amje6iirgtu

Proposing Novel Data Analytics Method for Anatomical Landmark Identification from Endoscopic Video Frames

Shima Ayyoubi Nezhad, Toktam Khatibi, Masoudreza Sohrabi, Xiang Li
2022 Journal of Healthcare Engineering  
Also, our proposed semisupervised CNN can compete with a slight difference similar to the CNN model.  ...  The resolution of these images varies from 750 × 576 up to 1920 × 1072 pixels. Result. Experimental results show that the supervised CNN has highly desirable performance with accuracy of 100%.  ...  A future research and semisupervised learning methods together and com- direction can be using the data augmentation methods in the paring the results of them.  ... 
doi:10.1155/2022/8151177 pmid:35251578 pmcid:PMC8890842 fatcat:nytuzdrp3baqbkr26pismazqfu

A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization

Hongwei Ge, Zehang Yan, Jing Dou, Zhen Wang, ZhiQiang Wang
2018 Mathematical Problems in Engineering  
This paper proposes a semisupervised framework based on graph embedding and multiview nonnegative matrix factorization (GENMF) for automatic image annotation with multilabel images.  ...  Automatic image annotation is for more accurate image retrieval and classification by assigning labels to images.  ...  This paper proposes a semisupervised learning framework based on graph embedding and multiview NMF (GENMF).  ... 
doi:10.1155/2018/5987906 fatcat:ygbgib5adncubb3vsuwxvxubnu

Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping

Liang Cheng, Lei Ma, Wenting Cai, Lihua Tong, Manchun Li, Peijun Du
2015 IEEE Transactions on Geoscience and Remote Sensing  
The proposed dimensional reduction method achieves better dimensional results than unsupervised method and semisupervised LE method (using only spectral distance).  ...  Second, we develop a new algorithm to interpolate sparse sonar points using a 3-D information diffusion method with homogeneous regions.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers and members of the editorial team for their comments and contributions.  ... 
doi:10.1109/tgrs.2014.2372787 fatcat:cyjrpwfysjhjljlv6nlg3retii

A novel transductive SVM for semisupervised classification of remote sensing images

Mingmin Chi, Lorenzo Bruzzone, Lorenzo Bruzzone
2005 Image and Signal Processing for Remote Sensing XI  
Experimental results confirm the effectiveness of the proposed method on a set of ill-posed remote-sensing classification problems representing different operative conditions.  ...  This paper introduces a semisupervised classification method that exploits both labeled and unlabeled samples for addressing ill-posed problems with support vector machines (SVMs).  ...  ACKNOWLEDGMENT The authors would like to thank the Istituto Sperimentale per l'Assestamento Forestale e per l'Alpicoltura (ISAFA), Trento, Italy, for providing both the Landsat image used in the  ... 
doi:10.1117/12.628862 fatcat:e7iv2jnlkrdctjtbft63kdhrli

A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images

L. Bruzzone, M. Chi, M. Marconcini
2006 IEEE Transactions on Geoscience and Remote Sensing  
Experimental results confirm the effectiveness of the proposed method on a set of ill-posed remote-sensing classification problems representing different operative conditions.  ...  This paper introduces a semisupervised classification method that exploits both labeled and unlabeled samples for addressing ill-posed problems with support vector machines (SVMs).  ...  ACKNOWLEDGMENT The authors would like to thank the Istituto Sperimentale per l'Assestamento Forestale e per l'Alpicoltura (ISAFA), Trento, Italy, for providing both the Landsat image used in the  ... 
doi:10.1109/tgrs.2006.877950 fatcat:tl2tslxlcre2jpboi35dhy66ka

An Unsupervised, Model-Free, Machine-Learning Combiner for Peptide Identifications from Tandem Mass Spectra

Nathan Edwards, Xue Wu, Chau-Wen Tseng
2009 Clinical Proteomics  
re-estimation, supervised machine learning scoring and prediction, and combining or merging of search engine results.  ...  by Machine Learning (PepArML) unsupervised, model-free, combining framework can be easily extended to support an arbitrary number of additional searches, search engines, or specialized peptide-spectrum  ...  merging of search engine results.  ... 
doi:10.1007/s12014-009-9024-5 fatcat:oyxradlxy5ht7a4seo4papj5ly

Unified utility maximization framework for resource selection

Luo Si, Jamie Callan
2004 Proceedings of the Thirteenth ACM conference on Information and knowledge management - CIKM '04  
This new framework shows an efficient and effective way to infer the probabilities of relevance of all the documents across the text databases.  ...  This paper presents a unified utility framework for resource selection of distributed text information retrieval.  ...  The final step of document retrieval is to merge the returned results into a single ranked list with the semisupervised learning algorithm.  ... 
doi:10.1145/1031171.1031180 dblp:conf/cikm/SiC04 fatcat:6lsrcegjirhltd27tonfxn74rq

A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

F. Bovolo, L. Bruzzone, M. Marconcini
2008 IEEE Transactions on Geoscience and Remote Sensing  
a semisupervised learning algorithm.  ...  This paper presents a novel approach to unsupervised change detection in multispectral remote-sensing images.  ...  a semisupervised learning algorithm.  ... 
doi:10.1109/tgrs.2008.916643 fatcat:6nk5qrqpzbh6pipzbd4z5y6yxm

The DILIGENT framework for distributed information retrieval

Fabio Simeoni, Fabio Crestani, Ralf Bierig
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
Finally, the reference DF service merges query results based on either one of three techniques: a plain round-robin algorithm, a consistent merging algorithm, and a linear regression method based on source  ...  Partial indices, in particular, would allow us to support most advanced techniques of selection and fusion, such as the Semisupervised Learning method of data fusion (SSL) [5] and the Unified Utility  ... 
doi:10.1145/1277741.1277906 dblp:conf/sigir/SimeoniCB07 fatcat:nvarn7mysrcobo6odp7taupfuu
« Previous Showing results 1 — 15 out of 904 results