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ASPDAC
2005
ACM
99views Hardware» more  ASPDAC 2005»
13 years 11 months ago
A fast counterexample minimization approach with refutation analysis and incremental SAT
- It is a hotly research topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. BFL algorithm is the most effective Counterexample minim...
ShengYu Shen, Ying Qin, Sikun Li
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
13 years 4 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
CVIU
2008
179views more  CVIU 2008»
13 years 9 months ago
Incremental, scalable tracking of objects inter camera
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...
Andrew Gilbert, Richard Bowden
IJSWIS
2007
96views more  IJSWIS 2007»
13 years 9 months ago
An Incremental Method for the Lexical Annotation of Domain Ontologies
In this paper, we present MELIS (Meaning Elicitation and Lexical Integration System), a method and a software tool for enabling an incremental process of automatic annotation of lo...
Sonia Bergamaschi, Paolo Bouquet, Daniel Giacomuzz...
DIS
2006
Springer
14 years 1 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...