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NIPS
2003
13 years 10 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
NETWORKING
2000
13 years 10 months ago
An Exact Algorithm for Calculating Blocking Probabilities in Multicast Networks
Abstract. The paper deals with tree-structured point-to-multipoint networks, where users from infinite user populations at the leaf nodes subscribe to a variety of channels, offere...
Eeva Nyberg, Jorma T. Virtamo, Samuli Aalto
ICASSP
2010
IEEE
13 years 9 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
ML
2006
ACM
121views Machine Learning» more  ML 2006»
13 years 9 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 9 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town