15,279 research outputs found
War Song
No full textBy M.J. Naparsteck, College at Brockport former faculty member.
struggled to decide, first, if he was willing to go, and then, once there, how he would participate in it. War Song is a psychological study of one solider that parallels America\u27s wrenching experience with the most unpopular war in its history. --Back cover
War Song is a lost classic that is finally back in print. No writer has dealt more honestly with the tragedy of the Viet Nam War and its impact on the Vietnamese people. En is that rarity, a well-developed Vietnamese character. --David Willson, co-editor of Vietnam War Literature: An Annotated Bibliography, February 2000https://digitalcommons.brockport.edu/bookshelf/1394/thumbnail.jp
Author Identification from Song Lyrics
No full textMachine Learning (ML) tools have been used extensively in a wide variety of domains
recently. Due the enormous amount of data being produced, machine learning techniques
are being heavily used to make sense of data & derive meaningful results. Using machine
learning tools, we can turn the data into knowledge.
Music is one of the truest forms of art. Bangladesh has a great history of music with a
great tradition of song writing over centuries. Authorship attribution is the way of
identifying the author from a linguistic corpus.
This paper demonstrates a guideline to identify the author of a Bengali song from the
lyrics of that song using machine learning. This research work presents the first work on
machine learning approach for author attribution from the lyrics of a song. Here six
methods of machine learning are used for the author identification and high accuracies
have been achieved from these methods. It is observed that Naïve Bayes method provides
higher accuracy in comparison with the other methods
Song
No full textAuthor attribution from Rudolph, 240. Printed on yellow paper with black ink. Set to the tune of "Happy land of Canaan". First line "You Rebels come along and listen to my song"
A Fast Multi-Resolution Search Algorithm for Optimal Retrieval in Large Multimedia Databases
No full textThe Singer or the Song? Developments in Performers' Rights from the Perspective of a Cultural Economist
No full textOver the last century, performers gradually acquired statutory protection of their economic and moral
rights. These rights are not copyright in the legal sense but neighboring rights and until recently, they
were mainly remuneration rights that are collectively administered. With the WPPT (WIPO
Performers and Phonograms Treaty), performers now have individual exclusive rights for digital
performances; this leads to the question: what has motivated this change – is it a change in the
perception of the value of performer or a change brought about by the changing technology of copying or,
indeed, a change that reflects different economic costs and benefits? The paper discusses the role of
copyright law as an incentive to performers and asks if the economic role of the performer is so different
from that of the author. The conclusion is that a complex interaction of the legal regulations, economic
conditions and institutional arrangements for administering these new rights will determine the outcome
Gift inscription in Minions of the Moon: a little book of song and story
No full textThis edition includes a gift inscription possibly penned by the author, Madison Julius Cawein, "Frank on Valentines Day, 1914. M.J." Madison Julius Cawein (1865-1914).Cawein, Madison Julius, 1865-1914
A Fast Descriptor Matching Algorithm for Exhaustive Search in Large Databases
No full textIn order to find the best match to a query image in a database, conventional content-based image retrieval schemes need the exhaustive search, where the descriptor of the query, e.g., histogram, must be compared with literally all images in the database. However, the straightforward exhaustive search algorithm is computationally expensive. So, fast exhaustive search algorithms are demanded. This paper presents a fast exhaustive search algorithm based on a multi-resolution descriptor structure and a norm-sorted database. First, we derive a condition to eliminate unnecessary matching operations from the search procedure by using a norm-sorted structure of the database. Then, we propose a fast search algorithm based on the elimination condition, which guarantees an exhaustive search for either the best match or multiple best matches to a query. With a luminance histogram as a descriptor, we show that the proposed algorithm provides a search accuracy of 100% with high search speed
Freemasons\u27 Song
No full textSong concerning pride in Freemasonryhttps://egrove.olemiss.edu/kgbsides_uk/1560/thumbnail.jp
Northumberland Election Song
No full textA song for a political candidate.https://egrove.olemiss.edu/kgbsides_uk/1899/thumbnail.jp
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