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198
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BVAI
2007
Springer
16 years 1 months ago
Incremental Subspace Learning for Cognitive Visual Processes
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
Bogdan Raducanu, Jordi Vitrià
182
Voted
UM
2007
Springer
16 years 1 months ago
Principles of Lifelong Learning for Predictive User Modeling
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
Ashish Kapoor, Eric Horvitz
208
Voted
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
16 years 1 months ago
Enhanced Semi-Supervised Learning for Automatic Video Annotation
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
Meng Wang, Xian-Sheng Hua, Li-Rong Dai, Yan Song
IROS
2006
IEEE
93views Robotics» more  IROS 2006»
16 years 1 months ago
Jacobian Learning Methods for Tasks Sequencing in Visual Servoing
Abstract— In this paper, the coupling between Jacobian learning and task sequencing through the redundancy approach is studied. It is well known that visual servoing is robust to...
Nicolas Mansard, Manuel Lopes, José Santos-...
176
Voted
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
16 years 1 months ago
Video Frame Identification for Learning Media Content Understanding
This paper presents our latest work on identifying frame content types for understanding learning media content. In particular, we categorize frames into six classes namely, slide...
Ying Li, Chitra Dorai