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ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
14 years 8 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
ICDE
2007
IEEE
124views Database» more  ICDE 2007»
15 years 11 months ago
On MBR Approximation of Histories for Historical Queries: Expectations and Limitations
Traditional approaches for efficiently processing historical queries, where a history is a multidimensional timeseries, employ a two step filter-and-refine scheme. In the filter s...
Reza Sherkat, Davood Rafiei
ICMLA
2007
14 years 11 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
113
Voted
CSEE
2008
Springer
14 years 11 months ago
A Case Study in Software Product: Lines An Educational Experience
In order to attend the industry needs, it is necessary to provide more practical issues of real software development in the academic curricula. This paper describes an educational...
Liana Barachisio Lisboa, Leandro Marques Nasciment...
DAC
2003
ACM
15 years 10 months ago
Learning from BDDs in SAT-based bounded model checking
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...
Aarti Gupta, Malay K. Ganai, Chao Wang, Zijiang Ya...