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CVPR
2007
IEEE
16 years 8 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat
IADIS
2004
15 years 8 months ago
Modelling Inductive Reasoning Ability for Adaptive Virtual Learning Environment
Inductive reasoning is one of the important characteristics of human intelligence. Researchers have regarded inductive reasoning as one of the seven primary mental abilities that ...
Taiyu Lin, Kinshuk, Paul McNab
ICASSP
2011
IEEE
14 years 10 months ago
Bilingual acoustic modeling with state mapping and three-stage adaptation for transcribing unbalanced code-mixed lectures
This paper presents a bilingual acoustic modeling approach for transcribing Mandarin-English code-mixed lectures with highly unbalanced language distribution. Special terminologie...
Ching-feng Yeh, Liang-Che Sun, Chao-Yu Huang, Lin-...
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
16 years 6 days ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
AAAI
2007
15 years 9 months ago
Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces
In recent years, there has been substantial research on exploring how AI can contribute to Human-Computer Interaction by enabling an interface to understand a user’s needs and a...
Cristina Conati, Christina Merten, Saleema Amershi...