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PAA
2008
14 years 10 months ago
Online nonparametric discriminant analysis for incremental subspace learning and recognition
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
Bogdan Raducanu, Jordi Vitrià
68
Voted
RAS
2006
97views more  RAS 2006»
14 years 10 months ago
Visuo-motor learning for face-to-face pass between heterogeneous humanoids
Humanoid behavior generation is one of the most formidable issues due to its complicated structure with many degrees of freedom. This paper proposes a controller for a humanoid to...
Masaki Ogino, Masaaki Kikuchi, Minoru Asada
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
15 years 10 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
85
Voted
ICPR
2010
IEEE
14 years 10 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
VL
2003
IEEE
126views Visual Languages» more  VL 2003»
15 years 3 months ago
Preserving non-programmers' motivation with error-prevention and debugging support tools
A significant challenge in teaching programming to disadvantaged populations is preserving learners’ motivation and confidence. Because programming requires such a diverse set o...
Andrew Jensen Ko