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EUSFLAT
2003
152views Fuzzy Logic» more  EUSFLAT 2003»
15 years 3 months ago
Bayesian networks for continuous values and uncertainty in the learning process
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
J. F. Baldwin, E. Di Tomaso
APSEC
2007
IEEE
15 years 6 months ago
Deriving Software Process Simulation Model from SPEM-based Software Process Model
It is difficult to adopt a simulation technology for simulating a software process because of the difficulty in developing a simulation model. In order to resolve the difficulty, ...
Seunghun Park, KeungSik Choi, Kyung-A Yoon, Doo-Hw...
ICCV
2007
IEEE
16 years 4 months ago
What, where and who? Classifying events by scene and object recognition
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Li-Jia Li, Fei-Fei Li 0002
KDD
2005
ACM
119views Data Mining» more  KDD 2005»
15 years 8 months ago
LIPED: HMM-based life profiles for adaptive event detection
In this paper, the proposed LIPED (LIfe Profile based Event Detection) employs the concept of life profiles to predict the activeness of event for effective event detection. A gro...
Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen
ICRA
1999
IEEE
140views Robotics» more  ICRA 1999»
15 years 6 months ago
Optimal Control of Production Systems with Unreliable Machines and Finite Buffers
In this paper we present a novel formulation for the optimal control of discrete event dynamic processes which represent production systems with unreliable machines and buffers of...
Fabio Balduzzi, Giuseppe Menga, Alessandro Giua