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» Genetic Algorithms for Component Analysis
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ICPR
2004
IEEE
16 years 4 months ago
Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
Hongcheng Wang, Narendra Ahuja
119
Voted
CAV
2009
Springer
132views Hardware» more  CAV 2009»
16 years 4 months ago
Image Computation for Polynomial Dynamical Systems Using the Bernstein Expansion
This paper is concerned with the problem of computing the image of a set by a polynomial function. Such image computations constitute a crucial component in typical tools for set-b...
Thao Dang, David Salinas
OSDI
2008
ACM
16 years 3 months ago
Hunting for Problems with Artemis
Artemis is a modular application designed for analyzing and troubleshooting the performance of large clusters running datacenter services. Artemis is composed of four modules: (1)...
Gabriela F. Cretu-Ciocarlie, Mihai Budiu, Mois&eac...
129
Voted
ICPR
2008
IEEE
15 years 10 months ago
Recognition of box-like objects by fusing cues of shape and edges
Boxes are the universal choice for packing, storage, and transportation. In this paper we propose a template-based algorithm for recognition of box-like objects, which is invarian...
Chia-Chih Chen, Jake K. Aggarwal
126
Voted
AIIA
2007
Springer
15 years 9 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta