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» The Dark Side of Object Learning: Learning Objects
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139
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ISVC
2010
Springer
15 years 1 months ago
Egocentric Visual Event Classification with Location-Based Priors
We present a method for visual classification of actions and events captured from an egocentric point of view. The method tackles the challenge of a moving camera by creating defor...
Sudeep Sundaram, Walterio W. Mayol-Cuevas
113
Voted
ENTCS
2010
111views more  ENTCS 2010»
15 years 26 days ago
Fundamental Nano-Patterns to Characterize and Classify Java Methods
Fundamental nano-patterns are simple, static, binary properties of Java methods, such as ObjectCreator and Recursive. We present a provisional catalogue of 17 such nano-patterns. ...
Jeremy Singer, Gavin Brown, Mikel Luján, Ad...
181
Voted
CVPR
2011
IEEE
14 years 7 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
205
Voted
ICALT
2011
IEEE
14 years 3 months ago
Tailoring Serious Games with Adaptive Pedagogical Scenarios: A Serious Game for Persons with Cognitive Disabilities
—this work addresses issues relevant to the project CLES (Cognitive and Linguistic Element Stimulation) which aims to develop a serious game for diagnosis and training of childre...
Aarij Mahmood Hussaan, Karim Sehaba, Alain Mille
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 6 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou