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ECCV
2010
Springer
15 years 7 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 9 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
ALT
2011
Springer
14 years 1 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
ACSC
2001
IEEE
15 years 5 months ago
Efficiency of Data Structures for Detecting Overlaps in Digital Documents
This paper analyses the efficiency of different data structures for detecting overlap in digital documents. Most existing approaches use some hash function to reduce the space req...
Krisztián Monostori, Arkady B. Zaslavsky, H...
CPHYSICS
2008
86views more  CPHYSICS 2008»
15 years 2 months ago
On ERI sorting for SIMD execution of large-scale Hartree-Fock SCF
Given the resurgent attractiveness of single-instruction-multiple-data (SIMD) processing, it is important for high-performance computing applications to be SIMD-capable. The Hartr...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...