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Browse by Author: Mitali Banerjee

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Music Classification by Genre (col10216)
Institution: Rice University
Subject: Science and Technology
Language: English
Popularity: 89.04%
Revised: 2004-01-22
Revisions: 5
Jordan Mayo (m11666)
Keywords: Jordan, Mayo
Summary: Biography of Jordan Mayo. Electrical engineering, Class of 2005, Rice University.
Subject: Science and Technology
Language: English
Popularity: 66.63%
Revised: 2003-12-10
Revisions: 2
Mitali Banerjee (m11665)
Keywords: Banerjee, Mitali
Summary: Biography of Mitali Banerjee. Anthropology & Electrical engineering, Class of 2004, Rice University.
Subject: Science and Technology
Language: English
Popularity: 71.35%
Revised: 2003-12-08
Revisions: New
Music Classification by Genre (m11691)
Keywords: classification, genre, music
Summary: Roadmap of Connexions modules
Subject: Science and Technology
Language: English
Popularity: 81.64%
Revised: 2003-12-11
Revisions: New
Music Classification by Genre: Beat Detection (m11685)
Keywords: beat, classification, detection, music
Summary: Tempo variation within a song
Subject: Science and Technology
Language: English
Popularity: 79.17%
Revised: 2003-12-16
Revisions: 2
Music Classification by Genre: Overall Results (m11689)
Keywords: classification, genre, music, overall, results
Summary: When tested with the training vectors, the system is 87.5% accurate. Higher accuracy implies that the system has memorized the training set and is unable to generalize when given new inputs.
Subject: Science and Technology
Language: English
Popularity: 66.04%
Revised: 2003-12-11
Revisions: New
Music Classification by Genre: System Performance (m11690)
Keywords: classification, genre, music, performance, system
Summary: Our system successfully determined the genre of the vast majority of the test songs. Not only did the system choose a genre, it quantified its output with a level of sureness.
Subject: Science and Technology
Language: English
Popularity: 98.44%
Revised: 2003-12-17
Revisions: 3
Neural Networks (m11667)
Keywords: networks, neural
Summary: Neural networks are a different paradigm for computing based on the parallel architecture of animal brains.
Subject: Science and Technology
Language: English
Popularity: 85.12%
Revised: 2003-12-17
Revisions: 2
Project Summary: Music Classification by Genre (m11661)
Keywords: classification, genre, music
Summary: A report containing theoretical background, methods employed, practical application results, and a breakdown of each member's role in the ELEC 301 Project: Music Classification by Genre.
Subject: Science and Technology
Language: English
Popularity: 85.89%
Revised: 2003-12-11
Revisions: 3
Popularity is measured as percentile rank of page views/day over all time
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Total Collections: 1317
Total Modules: 21936