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» Choosing Multiple Parameters for Support Vector Machines
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SIGIR
2009
ACM
14 years 2 months ago
Combining audio content and social context for semantic music discovery
When attempting to annotate music, it is important to consider both acoustic content and social context. This paper explores techniques for collecting and combining multiple sourc...
Douglas Turnbull, Luke Barrington, Gert R. G. Lanc...
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Audio tonality mode classification without tonic annotations
Traditional tonality mode (major or minor) classification or audio key finding algorithms often rely on tonic annotations (key names) of the training songs. However, unlike clas...
Zhiyao Duan, Lie Lu, Changshui Zhang
ICRA
2007
IEEE
147views Robotics» more  ICRA 2007»
14 years 2 months ago
Classification-Based Wheel Slip Detection and Detector Fusion for Outdoor Mobile Robots
— This paper introduces a signal-recognition based approach for detecting autonomous mobile robot immobilization on outdoor terrain. The technique utilizes a support vector machi...
Chris C. Ward, Karl Iagnemma
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
14 years 2 months ago
Genetic MRF model optimization for real-time victim detection in search and rescue
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
Alexander Kleiner, Rainer Kümmerle
WEBI
2007
Springer
14 years 2 months ago
K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets
Identification of distinct clusters of documents in text collections has traditionally been addressed by making the assumption that the data instances can only be represented by ...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...