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129
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MM
2004
ACM
124views Multimedia» more  MM 2004»
15 years 9 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
163
Voted
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
15 years 7 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
KBS
2007
103views more  KBS 2007»
15 years 3 months ago
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
In this paper, we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during interaction with an environment for exploration-based ...
Cristina Conati, Christina Merten
139
Voted
JUCS
2010
155views more  JUCS 2010»
14 years 10 months ago
Authoring and Delivering Personalised Simulations - an Innovative Approach to Adaptive eLearning for Soft Skills
: This paper examines the personalization of online training simulations which are a key modern approach in computer aided education. More specifically it focuses on the difficulti...
Conor Gaffney, Declan Dagger, Vincent Wade
153
Voted
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Improved Similarity-Based Online Feature Selection in Region-Based Image Retrieval
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Fei Li, Qionghai Dai, Wenli Xu