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» Fast k-Means Algorithms with Constant Approximation
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ANNPR
2008
Springer
13 years 7 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
DKE
2006
125views more  DKE 2006»
13 years 5 months ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 5 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
INFOCOM
2008
IEEE
13 years 11 months ago
Real-Time Video Multicast in WiMAX Networks
Abstract—IEEE 802.16e WiMAX is a promising new technology for broadband access networks. Amongst the class of applications that can be supported is real time video services (such...
Supratim Deb, Sharad Jaiswal, Kanthi Nagaraj
SIAMSC
2008
168views more  SIAMSC 2008»
13 years 5 months ago
Accurate Floating-Point Summation Part II: Sign, K-Fold Faithful and Rounding to Nearest
In this Part II of this paper we first refine the analysis of error-free vector transformations presented in Part I. Based on that we present an algorithm for calculating the round...
Siegfried M. Rump, Takeshi Ogita, Shin'ichi Oishi