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» On Computability of Pattern Recognition Problems
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ICALP
2011
Springer
13 years 1 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
CVPR
2007
IEEE
14 years 4 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
CGA
2004
13 years 10 months ago
Browsers to Support Awareness and Social Interaction
feel abstract and informational rather than inviting for social interaction. Consequently, newcomers and occasional visitors to such sites cannot quickly assess who the participant...
Alison Lee, Andreas Girgensohn, Jun Zhang
CVPR
2009
IEEE
15 years 5 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
ICCV
2007
IEEE
14 years 12 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...