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ECAI
2004
Springer
14 years 3 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ISPD
1998
ACM
110views Hardware» more  ISPD 1998»
14 years 2 months ago
Performance-driven soft-macro clustering and placement by preserving HDL design hierarchy
In this paper, we present a performance-driven softmacro clustering and placement method which preserves HDL design hierarchy to guide the soft-macro placement process. We also pr...
Hsiao-Pin Su, Allen C.-H. Wu, Youn-Long Lin
CGF
2008
83views more  CGF 2008»
13 years 10 months ago
Shallow Bounding Volume Hierarchies for Fast SIMD Ray Tracing of Incoherent Rays
Photorealistic image synthesis is a computationally demanding task that relies on ray tracing for the evaluation of integrals. Rendering time is dominated by tracing long paths th...
Holger Dammertz, Johannes Hanika, Alexander Keller
ICDIM
2007
IEEE
14 years 4 months ago
The selection of CRM systems in financial institutes using the analytic hierarchy
Recently, by changing business circumstances, financial institutes have become interested in customer relationship management (CRM) in order to obtain continuous profit and to kee...
Taeho Hong, Eunmi Kim
IJFCS
2010
92views more  IJFCS 2010»
13 years 7 months ago
Collapsing the Hierarchy of Parallel Computational Models
We investigate the computational power of parallel models with directed reconfigurable buses and with shared memory. Based on feasibility considerations present in the literature,...
Stefan D. Bruda, Yuanqiao Zhang