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» A New Discriminative Kernel From Probabilistic Models
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KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 6 days ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
FOSSACS
2010
Springer
15 years 6 months ago
Retaining the Probabilities in Probabilistic Testing Theory
Abstract. This paper considers the probabilistic may/must testing theory for processes having external, internal, and probabilistic choices. We observe that the underlying testing ...
Sonja Georgievska, Suzana Andova
ICCAD
2003
IEEE
154views Hardware» more  ICCAD 2003»
15 years 8 months ago
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Translating digital signal processing (DSP) software into its finite-precision hardware implementation is often a timeconsuming task. We describe a new static analysis technique ...
Claire Fang Fang, Rob A. Rutenbar, Tsuhan Chen
NIPS
2007
15 years 1 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
ICS
2009
Tsinghua U.
15 years 6 months ago
High-performance CUDA kernel execution on FPGAs
In this work, we propose a new FPGA design flow that combines the CUDA programming model from Nvidia with the state of the art high-level synthesis tool AutoPilot from AutoESL, to...
Alexandros Papakonstantinou, Karthik Gururaj, John...