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NIPS
2001
14 years 11 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
MVA
1996
223views Computer Vision» more  MVA 1996»
14 years 11 months ago
Classification of Rotated and Scaled Textured Images Using Spectral Moments
This paper describes a classification method for rotated and scaled textured images using invariant parameters based on spectral-moments. Although it is well known that rotation i...
Yasuo Yoshida, Yue Wu
JCISD
2002
63views more  JCISD 2002»
14 years 9 months ago
Prediction of Ultraviolet Spectral Absorbance Using Quantitative Structure-Property Relationships
High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This proc...
William L. Fitch, Malcolm McGregor, Alan R. Katrit...
SAB
2010
Springer
156views Optimization» more  SAB 2010»
14 years 8 months ago
Attentional Mechanisms for Lateral Line Sensing through Spectral Analysis
Abstract. For autonomy in underwater robotics it is essential to develop context-driven controllers, capable of leading from perception to action without human intervention. One of...
Otar Akanyeti, Maria-Camilla Fiazza, Paolo Fiorini
ICASSP
2011
IEEE
14 years 1 months ago
Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling
This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spe...
Katsutoshi Itoyama, Masataka Goto, Kazunori Komata...