Zobrazeno 1 - 10
of 19
pro vyhledávání: '"L. V. Subramaniam"'
Publikováno v:
Expert Systems with Applications. 88:270-275
In this work, we study the problem of annotating a large volume of Financial text by learning from a small set of human-annotated training data. The training data is prepared by randomly selecting some text sentences from the large corpus of financia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79174b6a99aa4989b89ba1fede32bd44
https://doi.org/10.1016/j.eswa.2017.07.016
https://doi.org/10.1016/j.eswa.2017.07.016
Publikováno v:
International Journal of Multimedia Data Engineering and Management. 5:22-35
During the past decade, the number of mobile electronic devices equipped with cameras has increased dramatically and so has the number of real-world applications for image classification. In many of these applications, the image data is captured in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7431c623ba8ebfeaad4af43dea189bd
https://doi.org/10.4018/ijmdem.2014100102
https://doi.org/10.4018/ijmdem.2014100102
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 22:1415-1427
Taxonomies, representing hierarchical data, are a key knowledge source in multiple disciplines. Information processing across taxonomies is not possible unless they are appropriately merged for commonalities and differences. For taxonomy merging, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70c6138d337613f7cf1c1b3939e1ee9e
https://doi.org/10.1109/tkde.2009.189
https://doi.org/10.1109/tkde.2009.189
Autor:
V. Batra, Sriram Sankararaman, L. V. Subramaniam, Ravi Kothari, G. Chanda, S. Mukherjea, D. Bhardwaj, B. Srivastava
Publikováno v:
IBM Journal of Research and Development. 48:693-701
Journals and conference proceedings represent the dominant mechanisms for reporting new biomedical results. The unstructured nature of such publications makes it difficult to utilize data mining or automated knowledge discovery techniques. Annotation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::412515128d09f9b3c408c82144b186ea
https://doi.org/10.1147/rd.485.0693
https://doi.org/10.1147/rd.485.0693
Autor:
Eric W. Brown, Yosi Mass, Naohiko Uramoto, Sougata Mukherjea, L. V. Subramaniam, Anni R. Coden, Hirofumi Matsuzawa, Bala Iyer, James W. Cooper, Aya Soffer, Robert L. Mack, Akihiro Inokuchi
Publikováno v:
IBM Systems Journal. 43:490-515
Biomedical text plays a fundamental role in knowledge discovery in life science, in both basic research (in the field of bioinformatics) and in industry sectors devoted to improving medical practice, drug development, and health care (such as medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85cfbad4be1e8b8ac8dd4cccb14c076
https://doi.org/10.1147/sj.433.0490
https://doi.org/10.1147/sj.433.0490
Publikováno v:
ISM
With the recent dramatic increase in the popularity of mobile electronic devices equipped with cameras, there is a growing number of real-world applications for image classification. Nevertheless, some of these real-world applications aim to classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4463176d296b1037019743d2569c3bfe
https://doi.org/10.1109/ism.2013.45
https://doi.org/10.1109/ism.2013.45
Publikováno v:
Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics.
Due to the advent of technology and internet over the past few years, significant number of customers have started shopping online and accessing their bank account through various channels like Netbanking, Mobile banking etc. In this paper, we descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91bbbb7e9ff05ba1accb7a7f3f6ff968
https://doi.org/10.1109/soli.2013.6611465
https://doi.org/10.1109/soli.2013.6611465
Publikováno v:
ICASSP
In this paper, we propose an acoustic fusion based approach to classify the traffic density states. In particular, we combine the information from mel-frequency cepstral coefficients (MFCC) based classifier, which models the cumulative road side sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d926703e4af08622edf33ab9bcbb648
https://doi.org/10.1109/icassp.2013.6637693
https://doi.org/10.1109/icassp.2013.6637693
Autor:
Snigdha Chaturvedi, K. H. Prasad, Raghu Krishnapuram, Tanveer Afzal Faruquie, L. V. Subramaniam, Bhupesh Chawda
Publikováno v:
ICDE
Data quality is a perennial problem for many enterprise data assets. To improve data quality, businesses often employ rule based data standardization systems in which domain experts code rules for handling important and prevalent patterns. Finding th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ae174cce49186c26aae99d21912826
https://doi.org/10.1109/icde.2013.6544912
https://doi.org/10.1109/icde.2013.6544912
Autor:
Tanveer A. Faruquie, Mukesh K. Mohania, Sumit Negi, L. V. Subramaniam, Himanshu Gupta, Bhupesh Chawda
Publikováno v:
EDBT
In this paper we investigate the problem of processing multi-way spatial joins on map-reduce platform. We look at two common spatial predicates - overlap and range. We address these two classes of join queries, discuss the challenges and outline nove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7df19d2efe355a32a0db542a7c21a3a
https://doi.org/10.1145/2452376.2452390
https://doi.org/10.1145/2452376.2452390