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ICCV
2011
IEEE
14 years 6 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 1 months ago
Designing Incentive Schemes Based on Intervention: The Case of Imperfect Monitoring
In this paper, we propose a class of incentive schemes based on intervention. We develop a general game-theoretic framework for the design of intervention schemes under imperfect m...
Jaeok Park, Mihaela van der Schaar
TNN
2011
104views more  TNN 2011»
15 years 1 months ago
Extended Input Space Support Vector Machine
—In some applications, the probability of error of a given classifier is too high for its practical application, but we are allowed to gather more independent test samples from ...
Ricardo Santiago-Mozos, Fernando Pérez-Cruz...
FLAIRS
1998
15 years 8 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
247
Voted
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia