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IJCAI
2007
13 years 9 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
IWMM
2009
Springer
122views Hardware» more  IWMM 2009»
14 years 2 months ago
Parametric heap usage analysis for functional programs
This paper presents an analysis that derives a formula describing the worst-case live heap space usage of programs in a functional language with automated memory management (garba...
Leena Unnikrishnan, Scott D. Stoller
HYBRID
2000
Springer
13 years 11 months ago
Decidability and Complexity Results for Timed Automata and Semi-linear Hybrid Automata
Abstract. We define a new class of hybrid automata for which reachability is decidable--a proper superclass of the initialized rectangular hybrid automata--by taking parallel compo...
Joseph S. Miller
ICCV
2011
IEEE
12 years 7 months ago
A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...
CASES
2011
ACM
12 years 7 months ago
Enabling parametric feasibility analysis in real-time calculus driven performance evaluation
This paper advocates a rigorously formal and compositional style for obtaining key performance and/or interface metrics of systems with real-time constraints. We propose a hierarc...
Alena Simalatsar, Yusi Ramadian, Kai Lampka, Simon...