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» On the Performance of Clustering in Hilbert Spaces
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96
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PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
15 years 3 months ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICCV
2003
IEEE
16 years 5 days ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
113
Voted
MICCAI
2009
Springer
15 years 10 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...
CVPR
2006
IEEE
16 years 8 days ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla
89
Voted
VLDB
1998
ACM
173views Database» more  VLDB 1998»
14 years 10 months ago
Fast Image Retrieval Using Color-Spatial Information
Abstract. In this paper, we present an image retrieval system that employs both the color and spatial information of images to facilitate the retrieval process. The basic unit used...
Beng Chin Ooi, Kian-Lee Tan, Tat-Seng Chua, Wynne ...