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TROB
2008
123views more  TROB 2008»
14 years 9 months ago
iSAM: Incremental Smoothing and Mapping
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
93
Voted
LPAR
2005
Springer
15 years 3 months ago
Deciding Separation Logic Formulae by SAT and Incremental Negative Cycle Elimination
Separation logic is a subset of the quantifier-free first order logic. It has been successfully used in the automated verification of systems that have large (or unbounded) inte...
Chao Wang, Franjo Ivancic, Malay K. Ganai, Aarti G...
SMI
2006
IEEE
111views Image Analysis» more  SMI 2006»
15 years 3 months ago
A Fast Particle System Framework for Interactive Implicit Modeling
In this paper, we present a controllable, fast and efficient particle system framework for skeletal implicit surfaces defined by the BlobTree model. We propose efficient algori...
Eric Galin, Rémi Allègre, Samir Akko...
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
14 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
KAIS
2000
106views more  KAIS 2000»
14 years 9 months ago
FANNC: A Fast Adaptive Neural Network Classifier
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...
Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen