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» Labeled Partitions and the q-Derangement Numbers
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TNN
2010
155views Management» more  TNN 2010»
14 years 6 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
3DIM
2011
IEEE
13 years 11 months ago
Visual Hull from Imprecise Polyhedral Scene
—We present a framework to compute the visual hull of a polyhedral scene, in which the vertices of the polyhedra are given with some imprecision. Two kinds of visual event surfac...
Peng He, Abbas Edalat
IEEEPACT
2006
IEEE
15 years 5 months ago
Communist, utilitarian, and capitalist cache policies on CMPs: caches as a shared resource
As chip multiprocessors (CMPs) become increasingly mainstream, architects have likewise become more interested in how best to share a cache hierarchy among multiple simultaneous t...
Lisa R. Hsu, Steven K. Reinhardt, Ravishankar R. I...
PAA
2002
14 years 11 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
ITSL
2008
15 years 1 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki