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» Learning words from sights and sounds: a computational model
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ICVS
1999
Springer
15 years 3 months ago
ADORE: Adaptive Object Recognition
Many modern computer vision systems are built by chaining together standard vision procedures, often in graphical programming environments such as Khoros, CVIPtools or IUE. Typical...
Bruce A. Draper, José Bins, Kyungim Baek
ACII
2007
Springer
15 years 5 months ago
Expression of Emotions in Virtual Humans Using Lights, Shadows, Composition and Filters
Abstract. Artists use words, lines, shapes, color, sound and their bodies to express emotions. Virtual humans use postures, gestures, face and voice to express emotions. Why are th...
Celso de Melo, Ana Paiva
SAC
2005
ACM
15 years 5 months ago
A hierarchical naive Bayes mixture model for name disambiguation in author citations
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles
ECCV
2010
Springer
15 years 4 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
SAC
2009
ACM
15 years 6 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan