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EMMCVPR
2005
Springer
15 years 8 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
103
Voted
SIAMJO
2008
99views more  SIAMJO 2008»
15 years 3 months ago
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
Many optimization problems are naturally delivered in an uncertain framework, and one would like to exercise prudence against the uncertainty elements present in the problem. In pr...
Marco C. Campi, Simone Garatti
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
16 years 3 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
ICIP
2009
IEEE
16 years 4 months ago
2d-3d Registration Of Deformable Shapes With Manifold Projection
We present an algorithm able to register a known 3D deformable model to a set of 2D matched points extracted from a single image. Unlike previous approaches, the problem is solved...
87
Voted
ISCAS
2006
IEEE
106views Hardware» more  ISCAS 2006»
15 years 9 months ago
A novel approach to L2-sensitivity minimization of digital filters subject to L2-scaling constraints
Abstract— This paper proposes a novel approach to L2sensitivity minimization problem of state-space digital filters subject to L2-scaling constraints. The proposed approach redu...
Shunsuke Yamaki, Masahide Abe, Masayuki Kawamata