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ICCV
2011
IEEE
12 years 9 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
ESANN
2008
13 years 11 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
COLT
1992
Springer
14 years 1 months ago
On the Computational Power of Neural Nets
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
Hava T. Siegelmann, Eduardo D. Sontag
CVPR
2004
IEEE
14 years 11 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
CRYPTO
2009
Springer
145views Cryptology» more  CRYPTO 2009»
14 years 4 months ago
Leakage-Resilient Public-Key Cryptography in the Bounded-Retrieval Model
We study the design of cryptographic primitives resilient to key-leakage attacks, where an attacker can repeatedly and adaptively learn information about the secret key, subject o...
Joël Alwen, Yevgeniy Dodis, Daniel Wichs