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» Spectral Methods for Automatic Multiscale Data Clustering
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GLVLSI
2002
IEEE
160views VLSI» more  GLVLSI 2002»
14 years 29 days ago
Computing walsh, arithmetic, and reed-muller spectral decision diagrams using graph transformations
Spectral techniques have found many applications in computeraided design, including synthesis, verification, and testing. Decision diagram representations permit spectral coeffici...
Whitney J. Townsend, Mitchell A. Thornton, Rolf Dr...
ICPR
2006
IEEE
14 years 2 months ago
Audio Segmentation and Speaker Localization in Meeting Videos
Segmenting different individuals in a group meeting and their speech is an important first step for various tasks such as meeting transcription, automatic camera panning, multime...
Himanshu Vajaria, Tanmoy Islam, Sudeep Sarkar, Rav...
ISMIR
2005
Springer
126views Music» more  ISMIR 2005»
14 years 1 months ago
Novelty Detection Based on Spectral Similarity of Songs
We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two...
Arthur Flexer, Elias Pampalk, Gerhard Widmer
ICCV
2009
IEEE
15 years 1 months ago
Video Scene Understanding Using Multi-scale Analysis
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
Yang Yang, Jingen Liu, Mubarak Shah
ICIP
2007
IEEE
14 years 9 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson