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» Clustering with Qualitative Information
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172
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IEEECIT
2010
IEEE
15 years 5 months ago
Tessellating Cell Shapes for Geographical Clustering
This paper investigates the energy-saving organization of sensor nodes in large wireless sensor networks. Due to a random deployment used in many application scenarios, much more n...
Jakob Salzmann, Ralf Behnke, Dirk Timmermann
INTERSPEECH
2010
15 years 1 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
CVPR
2008
IEEE
16 years 8 months ago
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
We propose a novel step toward the unsupervised segmentation of whole objects by combining "hints" of partial scene segmentation offered by multiple soft, binary mattes....
Andrew N. Stein, Thomas S. Stepleton, Martial Hebe...
188
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KDD
2009
ACM
141views Data Mining» more  KDD 2009»
16 years 7 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
ECCV
2004
Springer
16 years 1 days ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan