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» Limits of Spectral Clustering
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ICML
2006
IEEE
14 years 9 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
IROS
2006
IEEE
112views Robotics» more  IROS 2006»
14 years 2 months ago
Multi-robot Aggregation Strategies with Limited Communication
– The limited power, low radio range, and an ever changing environment make the ability to explicitly communicate between multi-robots decreases in a searching task. When this ha...
Yan Meng, Jeffrey V. Nickerson, Jing Gan
ICIP
2001
IEEE
14 years 10 months ago
On the estimation of spectral data: a genetic algorithm approach
Spectral data estimation from image data is an ill-posed problem since (i) due to the integral nature of solid-state light sensors the same output can be obtained from an infinity...
Amâncio Santos, António Dourado, Bern...
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 9 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
TASLP
2010
141views more  TASLP 2010»
13 years 3 months ago
Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation
Multiple pitch estimation consists of estimating the fundamental frequencies and saliences of pitched sounds over short time frames of an audio signal. This task forms the basis of...
Emmanuel Vincent, Nancy Bertin, Roland Badeau