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TSMC
2010
8 years 4 months ago
Fractional Particle Swarm Optimization in Multidimensional Search Space
In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakt...
Serkan Kiranyaz, Turker Ince, E. Alper Yildirim, M...
JSC
2010
60views more  JSC 2010»
8 years 8 months ago
On non-defectivity of certain Segre-Veronese varieties
Let Xm,n be the Segre-Veronese variety Pm ×Pn embedded by the morphism given by O(1, 2) and let σs(Xm,n) denote the sth secant variety to Xm,n. In this paper, we prove that if m ...
Hirotachi Abo
JAIR
2010
94views more  JAIR 2010»
8 years 8 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng
PVLDB
2008
205views more  PVLDB 2008»
8 years 9 months ago
Making SENSE: socially enhanced search and exploration
Online communities like Flickr, del.icio.us and YouTube have established themselves as very popular and powerful services for publishing and searching contents, but also for ident...
Tom Crecelius, Mouna Kacimi, Sebastian Michel, Tho...
PAMI
2007
125views more  PAMI 2007»
8 years 9 months ago
On the Dimensionality of Face Space
The dimensionality of face space is measured objectively in a psychophysical study. Within this framework we obtain a measurement of the dimension for the human visual system. Usi...
Marsha Meytlis, Lawrence Sirovich
CPC
2000
93views more  CPC 2000»
8 years 10 months ago
Fast Unimodular Counting
This paper describes methods for counting the number of non-negative integer solutions of the system Ax = b when A is a non-negative totally unimodular matrix and b an integral ve...
John Mount
MLQ
2008
108views more  MLQ 2008»
8 years 10 months ago
Comparison of Picard groups in dimension 1
We compare two Picard groups in dimension one. Our proofs are constructive and the results generalize a theorem of J. Sands [11]. MSC 2000: 13C15, 13C20, 03F65, 13F45
Henri Lombardi, Claude Quitté
JC
2006
87views more  JC 2006»
8 years 10 months ago
Exact cubature for a class of functions of maximum effective dimension
We consider high dimensional integration in a broad class of functions where all elements have maximum effective dimension. We show that there exists an exact cubature with only t...
Shu Tezuka, Anargyros Papageorgiou
CORR
2007
Springer
93views Education» more  CORR 2007»
8 years 10 months ago
Intrinsic dimension of a dataset: what properties does one expect?
— We propose an axiomatic approach to the concept of an intrinsic dimension of a dataset, based on a viewpoint of geometry of high-dimensional structures. Our first axiom postul...
Vladimir Pestov
IPL
2008
72views more  IPL 2008»
8 years 10 months ago
Turing degrees of reals of positive effective packing dimension
A relatively longstanding question in algorithmic randomness is Jan Reimann's question whether there is a Turing cone of broken dimension. That is, is there a real A such that...
Rod Downey, Noam Greenberg
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